- SIPTA News - lists.sipta.org

[SIPTA] CFP IJAR Special issue on Statistical and Computational methods for genomics and integrative genomics
by Cassio P. de Campos 12 May '15

12 May '15

CALL FOR PAPERS International Journal of Approximate Reasoning Special issue on Statistical and Computational methods for genomics and integrative genomics http://www.journals.elsevier.com/international-journal-of-approximate-reaso… Background and Scope: In the last decade, the advent of microarray and next-generation sequencing technologies has created the need of statistical and computational methodologies specifically developed for dealing with these types of data and novel biomedical research goals. Genomic data measure quantities (such as, gene-expression, copy number, genotype, methylation) at several thousands or millions of positions along the genome, resulting in an enormous amount of information from which to extract the relevant content. They are usually noisy and subject to uncertainties due to non-biological variations, which must be taken into account during the modelling and inferential processes. Many other issues arise when the field of application regards the study of complex genetic diseases, since patients can be highly heterogeneous and several different lesions may alter the same biological pathway. Moreover, the number of patients is usually small with respect to the number of variables, which brings another facet to the problem. Approaches that try to overcome all these difficulties rely on biological assumptions and integrate established knowledge and multiple types of data. Data integration may comprise not only different genomic data, but also clinical and other patient information. Combining all this information by an accurate biological and statistical modelling may allow us to achieve reliable biomedical discoveries. Inferential and computational issues must be also considered, as data have very high dimension and computational resources are limited. Papers are sought on theoretical and practical considerations involving statistical and computational approaches to address problems and data from the biomedical domain, including but not limited to: Next generation sequencing data Microarray data Data integration in genomics Genetic network modelling and inference Gene pattern discovery Disease classification and prediction Biomarker discovery Computational biology General methodological and algorithmic developments are also welcome as long as they have a clear applicability to the biomedical domain. If unsure about the fit of your intended paper or for any additional information, please do not hesitate to contact the guest editors. Important Dates: Deadline for first submission: August 31, 2015 Reviews available: November, 2015 Expected online publication: April, 2016 Submission and Review Process: Authors should prepare their papers according to the Guide for Authors of the International Journal of Approximate Reasoning (http://ees.elsevier.com/ija/) All submissions must be made electronically through the Elsevier's EES submission system at http://ees.elsevier.com/ija/ with the Article Type 'SI: Statistical genomics'. All papers will be peer-reviewed following the IJAR review guidelines. Guest Editors: Paola M.V. Rancoita University Centre for Statistics for the Biomedical Sciences Vita-Salute San Raffaele University, Italy http://www.unisr.it/persona.asp?id=8888&linguacv=english Cassio P. de Campos School of Electronics, Electrical Engineering and Computer Science Queen's University Belfast, UK http://www.cs.qub.ac.uk/~c.decampos/

1 0

[SIPTA] IJCAI’15 Workshop on Sensitivity Analysis and Robustness in Probablistic Models (Final CfP)
by Alessandro Antonucci 02 May '15

02 May '15

IJCAI’15 Workshop on Sensitivity Analysis and Robustness in Probablistic Models Buenos Aires, July 26, 2015 http://ipg.idsia.ch/wijcai15 FINAL CALL FOR PAPERS (deadline May 15th) Papers will be published in a volume of the JMLR Workshop and Conference Proceedings series. (http://jmlr.csail.mit.edu/proceedings) [SCOPE] Probabilistic multivariate models, such as Bayesian nets, MRFs, and others which are based on conditional independence assumptions, are important tools in machine learning and artificial intelligence for reasoning with uncertainty. The quantification of the parameters usually requires sharp (i.e., precise) assessments of the model potentials and might be subject to robustness issues. For instance, perturbations of some parameter values may lead to different decisions from those which would be achieved by the unperturbed model, suggesting that decisions are not reliable. Reliability might also be in question because of missing data and assumptions behind the process. The workshop invites submissions of papers on all aspects of sensitivity analysis and robustness in probabilistic models. Contributions may have a theoretical focus and/or an applied focus. A non-exhaustive list of topics follows. - Local and/or global sensitivity analysis. - Parameter-based and/or decision-based sensitivity analysis. - Design of robust learning, inference and/or decision making approaches. - Robust analysis and design of robustness measurements. - Reliable qualitative learning and reasoning. - Robust treatment of missing data. - Imprecise probability and other theories related to sensitivity analysis. - Computational complexity, exact and approximate algorithms. [SUBMISSIONS] Each submission will be reviewed by peers using a double-blind process (please use the third person in self citations and take all necessary care not to identify yourselves). Accepted papers will be published electronically in a volume of the JMLR Workshop and Conference Proceedings series. There will be no rebuttal phase, but contributions considered worth publishing and needing substantial revision might be subject to a second round of reviewing/evaluation. All accepted papers will be presented at the workshop. At least one of the paper's authors should register and attend the workshop to present the work. Submissions must be formatted according to style and template files available for the Journal of Machine Learning Research (JMLR) Workshop and Conference Proceedings - two-column version. The files are available at http://ipg.idsia.ch/wijcai15/sarpgm15.tar.gz. Papers (including figures, tables, references, etc) are expected to have between 6 and 10 pages. [IMPORTANT DATES] May 8, 2015 - Deadline for abstract submission May 15, 2015 - Deadline for paper submission June 3, 2015 - Workshop paper acceptance notification June 13, 2015 - Deadline for workshop camera-ready copy (in case of minor revision; contributions needing major revision might need additional time - this will be arranged case by case) July 26, 2015 - Workshop [PC MEMBERS] Alessandro Antonucci*, IDSIA, Switzerland. Alessio Benavoli, IDSIA, Switzerland. Cassio P. de Campos*, Queen's University Belfast, UK. Arthur Choi, University of California, Los Angeles, USA. Giorgio Corani*, IDSIA, Switzerland. Fabio Cozman, University of Sao Paulo, Brazil. Adnan Darwiche, University of California, Los Angeles, USA. Sebastien Destercke, Univ. de Technologie de Compiegne, France. Marek Druzdzel, University of Pittsburgh, USA. Johan Kwisthout, Radboud University Nijmegen, The Netherlands. Agnieszka Onisko, Bialystok University of Technology, Poland. Denis Maua, University of Sao Paulo, Brazil. Serafin Moral, Universidad de Granada, Spain. Silja Renooij, Universiteit Utrecht, The Netherlands. Matthias Troffaes, University of Durham, UK. (*: Workshop organizers.) More details about the submission procedure are available online. http://ipg.idsia.ch/wijcai15/ ++++++++++++++++++++++++++++++++++++++++ (We apologize in case you receive multiple copies of this announcement, but yet we hope to reach the greatest possible number of people. Finding a trade-off is not an easy task.) _________________________________ Alessandro Antonucci IDSIA Dalle Molle Institute for Artificial Intelligence Via Cantonale (Galleria 2) CH-6928, Manno-Lugano, CH mail: alessandro(a)idsia.ch skype: alessandro.antonucci tel: +41 916108515 web: www.idsia.ch/~alessandro _________________________________

1 0

Re: [SIPTA] SUM 2015 final CfP -- Abstract submission deadline approaching
by Kreinovich 01 May '15

01 May '15

FYI -----Original Message----- From: Christoph Beierle *** Final Call for Papers -- Apologies for multiple copies *** ================================================================= Ninth International Conference on Scalable Uncertainty Management (SUM 2015) Quebec City, Canada -- September 16-18, 2015 http://www.fernuni-hagen.de/wbs/sum2015 Abstract submission: May 03, 2015 Paper submission: May 10, 2015 ================================================================= Aims and Scope ************** The International Conference on Scalable Uncertainty Management (SUM) is an annual conference that was launched in 2007 with the goal to exploit and strengthen the connection between the Artificial Intelligence and Database communities. It aims at bringing together all those researchers interested in the management of uncertain, incomplete or inconsistent information. Such information originates commonly in applications where significant computational effort is needed to process data in a meaningful and semantically justifiable manner. Typical applications of that kind include databases, the Web, and the life sciences. Papers are solicited in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include (but are not restricted to) applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge. Invited Speakers **************** - Jean-Marie De Koninck (Université Laval, Québec City) - Lise Getoor (University of California Santa Cruz) - Ronald Yager (Machine Intelligence Institute - Iona College) Important Dates **************** - Abstract Submission: May 03, 2015 (extended) - Paper Submission: May 10, 2015 (extended) - Notification: June 14, 2015 - Camera Ready: July 02, 2015 - Conference: September 16-18, 2015 Publication *********** The proceedings will be published by Springer-Verlag in the LNCS series Lecture Notes in Artificial Intelligence. Submissions *********** SUM 2015 solicits papers in two categories: - Regular research papers. - Short papers reporting on interesting work in progress or providing system descriptions. Submissions in the first category should be at most fourteen pages, including bibliography. Submissions in the second category should be at most six pages, including bibliography. Each paper is to be submitted electronically as a single PDF file through EasyChair at https://www.easychair.org/conferences/?conf=sum2015. General Chair ************* - Patrick Maupin (Defence Research and Development Canada) Steering Committee ****************** - Didier Dubois (CNRS IRIT, France) - Henri Prade (CNRS IRIT, France) - VS Subrahmanian (University of Maryland, USA) Program Committee Chairs ************************ - Christoph Beierle (University of Hagen, Germany) - Alex Dekhtyar (Cal Poly, San Luis Obispo, USA) Program Committee ***************** Nahla Ben Amor (Institut supérieur de gestion de Tunis, Tunisia) Chitta Baral (Arizona State University, USA) Leopoldo Bertossi (Carleton University, Canada) Cory Butz (University of Regina, Canada) Andrea Calì (University of London, Birkbeck College, UK) Reynold Cheng (The University of Hong Kong) Laurence Cholvy (ONERA, Toulouse, France) Jan Chomicki (SUNY Buffalo, USA) Fabio Cozman (Universidade de Sao Paulo, Brazil) Madalina Croitoru (LIRMM, Univ. Montpellier II, France) Michael Dekhtyar (Tver State University, Russia) Thierry Denoeux (Université de Technologie de Compiègne, France) Jürgen Dix (TU Clausthal, Germany) Didier Dubois (IRIT, France) Thomas Eiter (Vienna University of Technology, Austria) Zied Elouedi (Institut supérieur de gestion de Tunis, Tunisia) Ronald Fagin (IBM Research - Almaden, USA) Mihai Cristian Florea (Thales Group, Canada) Lluis Godo (IIIA, Spain) John Grant (Towson University, USA) Sergio Greco (Università della Calabria, Italy) Allel Hadjali (LIAS/ENSMA, Chasseneuil, France) Justin Hollands (DRDC, Canada) Anthony Hunter (University College London, UK) Gabriele Kern-Isberner (TU Dortmund University, Germany) Kristian Kersting (TU Dortmund University, Germany) Kathryn Laskey (George Mason University, Fairfax, USA) Sebastian Link (University of Auckland, New Zealand) Peter Lucas (University of Nijmegen, Netherlands) Thomas Lukasiewicz (University of Oxford, UK) Jianbing Ma (Bournemouth University, UK) Zongmin Ma (Northeastern University, China) Anders Madsen (HUGIN Expert, Denmark) Maria Vanina Martinez (University of Oxford, UK) Serafin Moral (University of Granada, Spain) Thomas Meyer (Centre for AI Research, CSIR and UKZN, South Africa) Jeff Z. Pan (University of Aberdeen, UK) Simon Parsons (University of Liverpool, UK) Gabriella Pasi (Università degli Studi di Milano Bicocca, Italy) David Poole (University of British Columbia, Canada) Henri Prade (IRIT, France) Andrea Pugliese (University of Calabria, Italy) Sebastian Rudolph (Technische Universität Dresden, Germany) Vítor Santos Costa (Universidade do Porto, Portugal) Elisa Shahbazian (OODA Technologies Inc., Canada) Guillermo Simari (Universidad Nacional del Sur, Bahia Blanca, Argentina) Umberto Straccia (ISTI-CNR, Italy) VS Subrahmanian (University of Maryland, USA) Paul Weng (SYSU-CMU Joint Institute of Engineering, Pittsburgh, USA) Jef Wijsen (University of Mons, Belgium) Stefan Woltran (Vienna University of Technology, Austria) Ronald Yager (Machine Intelligence Institute - Iona College, USA) Vladimir Zadorozhny (University of Pittsburgh, USA) Further Information ******************* http://www.fernuni-hagen.de/wbs/sum2015

1 0

Re: [SIPTA] Special Issue on Interval Techniques in Optimization Problems of Engineering
by Kreinovich 29 Apr '15

29 Apr '15

FYI. Vladik P.S. Please note that this is an Open Access journal, meaning that publication in this journal requires payment of Article Processing Charges http://www.hindawi.com/journals/mpe/apc/. While Open Access journals and publications charges are not typical in computer science and applied math, they are the norm in many disciplines, such as theoretical physics, many biosciences, etc., and, according to the latest IEEE data, they are more and more prevalent in engineering. According to this journal website, the regular article processing charge is $2,000, but the publisher provides an automatic waiver of Article Processing Charges to authors based in any of the countries which were classified by the World Bank as Low-income economies or Lower-middle-income economies as of July 2014, and which have a 2013 gross domestic product of less than 200 billion US dollars. One can find the list of such countries and more details about the waiver policy at http://www.hindawi.com/waiver/ -----Original Message----- From: Milan Hladík [mailto:milan_hladik(a)centrum.cz] Mathematical Problems in Engineering http://www.hindawi.com/journals/mpe/ Special Issue on Applications of Interval Techniques and Other Techniques with Automatic Results Verification to Optimization in Engineering Optimization problems are important in engineering; however, many optimization techniques currently used in engineering application are semi-heuristic, they do not guarantee that the results of applying these techniques are indeed optimal. Such guarantees can be provided if we use optimization techniques that provide automatic result verification. To provide desirable guarantees, we need to take into account that, due to measurement uncertainty, we only know approximate values of the numerical characteristics describing engineering systems. Often, the only information that we have about the measurement uncertainty is the upper bound on the measurement error; in such cases, all we know about the actual value of the corresponding characteristic is the interval containing this value. Techniques for processing such interval data -- interval computation and interval analysis - are powerful mathematical techniques applied in many areas including uncertainty modelling, constraint programming and numerical verification. These techniques are often the essential ingredients for developing robust, reliable and efficient algorithms in optimization. The aim of this special issue is to bring together contributions in engineering optimization and Operations Research that use interval approach (and other techniques with automatic results verification) as the main or auxiliary mathematical tool. Contributions in closely related areas, however, are encouraged as well. Welcome are contributions to theory, algorithms, and/or applications. Topics of interest include but are not limited to: " Interval computation in engineering " Robustness in engineering optimization and Operations Research " Global optimization and constraint solving, including optimization in dynamical systems and control " Verification in numerical methods " Reliability in engineering computations " Mathematical treatment of uncertainty and sensitivity analysis in engineering problems " Use of interval computations to process fuzzy uncertainty in engineering problems Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. All papers are refereed through a peer review process. Manuscript Due: October 23, 2015 First Round of Reviews: January 15, 2016 Publication Date: March 11, 2016 Lead Guest Editor Milan Hladík, Charles University, Faculty of Mathematics and Physics, Department of Applied Mathematics, Prague, Czech Republic hladik(a)kam.mff.cuni.cz Guest Editors: Michal Cerny University of Economics, Department of Econometrics, Prague, Czech Republic; cernym(a)vse.cz Vladik Kreinovich, University of Texas at El Paso, Department of Computer Science 500 W. University, El Paso, TX 79968, USA; vladik(a)utep.edu Majid Soleimani-Damaneh, School of Mathematics, Statistics and Computer Science, University College of Science, University of Tehran, Enghelab avenue, Tehran, Iran; soleimani(a)khayam.ut.ac.ir Gerhard-Wilhelm Weber, Institute of Applied Mathematics, Middle East Technical University, 06531 Ankara, Turkey; gweber(a)metu.edu.tr

1 0

[SIPTA] Fwd: [Random] Junior female researchers in probability - Berlin
by Serena Doria 24 Apr '15

24 Apr '15

1 0

[SIPTA] Workshop on Uncertainty in Machine Learning in Compiègne 15/16 June
by Sébastien Destercke 23 Apr '15

23 Apr '15

Dear Colleagues, We are pleased to announce that the first Workshop on Uncertainty in Machine Learning (WUML) will take place in Compiègne, during the 15th and 16th June. It will be held in the Compiègne University of Technology. The major aim of the workshop is to stimulate discussion on ongoing researches, very recent developments and challenging open problems regarding the treatment of uncertainty in machine learning. Each of the two days of the workshop will consist of presentations covering a specific topic, while also leaving ample time for discussion. The first day will be devoted to the treatment of uncertain (e.g., missing, noisy, imprecise, …) data in the inference and learning process, while the second day will be devoted to uncertainty in the learned model and in the predictions (e.g., rejection strategies, indeterminate predictions, using sets of models, …). A gala dinner will also take place on the night of the first day. Everyone (PhD students as well as senior researchers) is welcome to participate and/or to present their views on these problems! Wewelcome any stimulating contribution, ranging from a presentation to ashort informal statement. Do not hesitate to contact us for more information. There will be no registration fee, so participants only have to cover the cost of their travel. Website: https://wuml2015.hds.utc.fr/ WUML 2015 organisation committee.

1 0

[SIPTA] IUKM 2015--CfP: October 15-17, 2015, Nha Trang, Vietnam
by Van-Nam HUYNH 21 Apr '15

21 Apr '15

[Apologies if you receive multiple copies. Your help in circulating this call among your colleagues and students is highly appreciated. Thank you very much.] ----------------------------------------------------------------------------------------------------- CALL FOR PAPERS ----------------------------------------------------------------------------------------------------- The Fourth International Symposium on INTEGRATED UNCERTAINTY in KNOWLEDGE MODELLING and DECISION MAKING http://www.jaist.ac.jp/IUKM/IUKM2015/ OCTOBER 15-17, 2015, Nha Trang, VIETNAM ------------------------------------------------------------------------------------------------------- Proposals for special sessions are encouraged and welcome. ------------------------------------------------------------------------------------------------------- The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM) aims to provide a forum for exchanges of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty management and application. Previous symposia have been successfully held in Ishikawa, Japan (IUM 2010 - AISC 68), Hangzhou, China (IUKM 2011 - LNAI 7027) and Beijing, China (IUKM 2013 - LNAI 8032). The fourth IUKM (2015) will take place in the beautiful coastal city of Nha Trang, Vietnam, during 15th-17th October, 2015. Relevant topics for the IUKM 2015 Symposium include, but are not limited to, the following: + Theory and Methodology - Uncertainty formalisms: Bayesian probability, Dempster-Shafer theory, imprecise probability, random sets, rough sets, fuzzy sets and interval-based models - logics for reasoning under uncertainty - Information fusion and knowledge integration in uncertain environments - Decision making under various types of uncertainty - Aggregation operators - Copulas for dependence modelling - Granular and soft computing + Application - Data mining and knowledge discovery - Ontology engineering and Semantic Web - Intelligent data analysis and modelling - Medical informatics and bioinformatics - Ranking and recommendation systems - Kansei/affective engineering - Engineering management - Supply chain management - Environmental management - Service science - Economics and econometrics - Social network analysis and mining PUBLICATION The authors are invited to submit their full papers by May 11, 2015. The submissions will be peer-reviewed for originality and scientific quality. As done in previous editions, the proceedings of IUKM 2015 will be published by Springer-Verlag in the Lecture Notes in Artificial Intelligence series, and be available at the Symposium. Authors are requested to prepare their papers in the Springer LNAI format. Submissions should not exceed 12 pages and must be submitted electronically through the conference's Easychair submission page (https://easychair.org/conferences/?conf=iukm2015) In addition, after the Symposium, the authors of selected papers from IUKM 2015 will be invited to submit substantially extended and updated version of their work for possible inclusion in special issues of Annals of Operations Research and International Journal of Approximate Reasoning. IMPORTANT DATES Deadline for paper submission: 11 May 2015 Notification of acceptance/rejection: 15 July 2015 Final camera-ready: 10 August 2015 Author registration: 10 August 2015 Early registration: 7 September 2015 Symposium dates: 15 - 17 October 2015 -------------------------- General Co-Chairs Viet-Ha Nguyen (University of Engineering and Technology, VNU-Hanoi, Vietnam) Sadaaki Miyamoto (University of Tsukuba, Japan) Program Co-Chairs Van-Nam Huynh (JAIST, Japan) Thierry Denoeux (University of Technology of Compiègne, France) Masahiro Inuiguchi (University of Osaka, Japan)

1 0

[SIPTA] CfP: Special Issue on Logics for Preferences, Uncertainty and Vagueness
by Thomas Lukasiewicz 20 Apr '15

20 Apr '15

****************************************************************** CALL FOR PAPERS * IfCoLog Journal of Logics and their Applications * Special Issue on Logics for Reasoning about Preferences, Uncertainty and Vagueness http://lat.inf.tu-dresden.de/PRUV-SI15/ ****************************************************************** PRUV 2014 was the first Workshop on Logics for Reasoning about Preferences, Uncertainty, and Vagueness. This workshop was associated to the Vienna Summer of Logic. The aim of PRUV is to bring together people from different communities (such as the Artificial Intelligence and the Semantic Web community, among others), including theorists and practitioners, working on logics for reasoning about preferences, uncertainty, and vagueness. Making researchers aware of and fruitfully discuss the most recent application areas, new challenges and the existing body of work on logics for reasoning about preferences, uncertainty, and vagueness, respectively is the main goal of the meeting. After a successful workshop, the IfCoLog Journal of Logics and their Applications now invites submissions to a special issue on the topics of PRUV. == Submission Deadline == ** June 21st, 2015 ** == TOPICS == We welcome submissions relating logic with preferences, uncertainty and vagueness. Some logics of interest are: - first order logic, - propositional logic, - logic programming, - answer set programming, - description logics, - modal logic, - dynamic logic, - temporal logics, - defeasible logics, - agent logics. Formalisms for handling preferences, uncertainty and vagueness include, but are not limited to - probability measures, - Bayesian networks, - possibility measures, - preference networks, - CP-networks, - rough sets, - fuzzy set theory. == PUBLICATION == All accepted papers will be published in a special issue of the IFCOLOG Journal of Logics and their Applications (http://www.collegepublications.co.uk/journals/ifcolog/) == SUBMISSION GUIDELINES == Submissions must be prepared in LaTeX using the IfCoLog style (http://lat.inf.tu-dresden.de/PRUV-SI15/ifcolog.cls) All submitted manuscripts must contain original material not previously published or currently under review in any other journal. Submissions extending results previously published at a conference or workshop are welcome. Submissions will be made via EasyChair: https://www.easychair.org/conferences/?conf=pruvsi15 More information is available at the special issue webpage http://lat.inf.tu-dresden.de/PRUV-SI15/

1 0

[SIPTA] IJCAI’15 Workshop on Sensitivity Analysis and Robustness in Probabilistic Graphical Models (3rd CfP)
by Alessandro Antonucci 18 Apr '15

18 Apr '15

FYI. Please note that imprecise probability papers on multivariate models are very welcome, and accepted papers will be published in the 'Workshop and Conference Proceedings' Series of the Journal of Machine Learning Research. _______________________________ IJCAI’15 Workshop on Sensitivity Analysis and Robustness in Probabilistic Graphical Models Buenos Aires, July 25-27, 2015 - http://ipg.idsia.ch/wijcai15/ THIRD CALL FOR PAPERS Papers will be published in a volume of the JMLR Workshop and Conference Proceedings series. (http://jmlr.csail.mit.edu/proceedings) [SCOPE] Probabilistic graphical models are important tools in machine learning and artificial intelligence for reasoning with uncertainty. They provide means to represent large multivariate domains compactly and to perform sophisticated learning and reasoning efficiently. Examples of probabilistic graphical models are Bayesian networks, Markov Random fields, chain and factor graphs, Gaussian graphical models, to name but a few. The quantification of these models usually requires sharp (i.e., precise) assessments of the model local potentials and might be subject to robustness issues. For instance, perturbations of some parameter values may lead to different decisions from those which would be achieved by the unperturbed model, suggesting that decisions are not reliable. Reliability might also be in question because of missing data and assumptions behind the process. The workshop invites submissions of papers on all aspects of sensitivity analysis and robustness in probabilistic graphical models. Contributions may have a theoretical focus and/or an applied focus. A non-exhaustive list of topics follows. - Local and/or global sensitivity analysis. - Parameter-based and/or decision-based sensitivity analysis. - Design of robust learning, inference and/or decision making approaches. - Robust analysis and design of robustness measurements. - Extensions of probabilistic graphical models. - Reliable qualitative learning and reasoning. - Robust treatment of missing data. - Imprecise probability and other theories related to sensitivity analysis. - Computational complexity, exact and approximate algorithms. Papers about more general robust multivariate models based on independence or othr structural judgements are also welcome. [SUBMISSIONS] Each submission will be reviewed by peers using a double-blind process (please use the third person in self citations and take all necessary care not to identify yourselves). Accepted papers will be published electronically in a volume of the JMLR Workshop and Conference Proceedings series. There will be no rebuttal phase, but contributions considered worth publishing and needing substantial revision might be subject to a second round of reviewing/evaluation. All accepted papers will be presented at the workshop. At least one of the paper's authors should register and attend the workshop to present the work. Submissions must be formatted according to style and template files available for the Journal of Machine Learning Research (JMLR) Workshop and Conference Proceedings - two-column version. The files are available at http://ipg.idsia.ch/wijcai15/sarpgm15.tar.gz. Papers (including figures, tables, references, etc) are expected to have between 6 and 10 pages. [IMPORTANT DATES] Apr 27, 2015 - Deadline for submissions of contributions May 20, 2015 - Workshop paper acceptance notification May 30, 2015 - Deadline for workshop camera-ready copy (in case of minor revision; contributions needing major revision might need additional time - this will be arranged case by case) [PC MEMBERS] Alessandro Antonucci*, IDSIA, Switzerland. Alessio Benavoli, IDSIA, Switzerland. Cassio P. de Campos*, Queen's University Belfast, UK. Arthur Choi, University of California, Los Angeles, USA. Giorgio Corani*, IDSIA, Switzerland. Fabio Cozman, University of Sao Paulo, Brazil. Adnan Darwiche, University of California, Los Angeles, USA. Sebastien Destercke, Univ. de Technologie de Compiegne, France. Marek Druzdzel, University of Pittsburgh, USA. Johan Kwisthout, Radboud University Nijmegen, The Netherlands. Agnieszka Onisko, Bialystok University of Technology, Poland. Denis Maua, University of Sao Paulo, Brazil. Serafin Moral, Universidad de Granada, Spain. Silja Renooij, Universiteit Utrecht, The Netherlands. Matthias Troffaes, University of Durham, UK. (*: Workshop organizers.) More details about the submission procedure are available online. http://ipg.idsia.ch/wijcai15/ ++++++++++++++++++++++++++++++++++++++++ (We apologize in case you receive multiple copies of this announcement, but yet we hope to reach the greatest possible number of people. Finding a trade-off is not an easy task.) -- _________________________________ Alessandro Antonucci IDSIA Dalle Molle Institute for Artificial Intelligence Via Cantonale (Galleria 2) CH-6928, Manno-Lugano, CH mail: alessandro(a)idsia.ch skype: alessandro.antonucci tel: +41 916108515 web: www.idsia.ch/~alessandro _________________________________

1 0

[SIPTA] PhD Position available in machine learning under severe uncertainty
by Sébastien Destercke 12 Apr '15

12 Apr '15

The DI (Decision and Image) team of the Heudiasyc (Heuristic and Diagnostic Methods for Complex Systems) laboratory recruits one PhD student funded by the French ministry of education. The thesis topic concern the problem of learning what are the optimal pieces of information one should query to reduce uncertainty and reach a unique optimal decision. Depending on its preferences and skills, the candidate will either focus on active learning or expert elicitation problems. The student work will be performed in close collaboration with experts in the fields of learning and reasoning under uncertainty. The ideal candidate has a strong commitment to research and to the completion of the PhD program, has strong skills in mathematics or computer science, has good communication skills in English, good programming skills, and ability to work in a collaborative environment. For Further information, you can contact me (sebastien.destercke(a)hds.utc.fr) or download the application file at https://www.hds.utc.fr/~sdesterc/dokuwiki/_media/en/learning_thesis_subject… -- ==================================== Sebastien Destercke, Ph. D. CNRS researcher in computer science. Université de Technologie de Compiegne U.M.R. C.N.R.S. 7253 Heudiasyc Centre de recherches de Royallieu F-60205 Compiegne Cedex FRANCE Tel: +33 (0)3 44 23 79 85 Fax: +33 (0)3 44 23 44 77 ====================================

1 0