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[SIPTA] 7th SIPTA Summer School on Imprecise Probability - registration open until June 24th
by Matthias Troffaes 16 May '16

16 May '16

7th SIPTA Summer School on Imprecise Probability [All our apologies for cross-posting.] Seventh school of the Society for Imprecise Probability: Theories and Applications (SIPTA), Aug 29 - Sep 2, 2016, Durham, UK. Although the official registration deadline has expired, there are still a few places left, therefore we will still accept students on a one-by-one basis until Friday June 24th 2016 or until all places run out. To register please follow the instructions here: http://www.maths.dur.ac.uk/users/matthias.troffaes/siptass16/registration.h… -- Are you interested in modelling severe uncertainty in your applications? Are you worried about the impact of the choice of prior in your Bayesian analysis? Are you interested in prior-data conflict and/or missing data? Do you want to learn how imprecise probability can help you making robust decisions under uncertainty? Then the SIPTA summer school is for you! The Society for Imprecise Probability: Theories and Applications (SIPTA) organizes the 7th edition of its school in Durham, UK, during Aug 29 - Sep 2 2016. The school will be held at the Department of Mathematical Sciences, Durham University, close to the city centre of Durham. The aim of the SIPTA schools is to introduce interested students and researchers to the basics of imprecise probability topics, both theoretical and applied. Some of the best specialists in different aspects of imprecise probabilities lecture, during one week, on the main concepts and techniques in their area of expertise, in a friendly environment favouring interactions between participants. The topics covered this year will provide a general introduction to the latest developments in imprecise probability theory. There will also be a focus on applications of imprecise probabilities in risk analysis in engineering and environmental systems. Students will learn how to deal with situations where information is scarce, vague, or conflicting, and when a unique probability distribution may be hard to identify, from mathematical modelling to statistical inference and practical decision making. A basic understanding of probability and calculus are required (first year university level). A knowledge of Bayesian statistics is an advantage but is not required. The last day of the school overlaps with the WPMSIIP workshop, and will give all participants the possibility to present their work in a seminar, with discussion time. We plan for several leading researchers to be present for the discussions, and we also expect that some of the topics the students work on will be of further interest to the WPMSIIP workshop. Further information concerning registration, as well as a detailed programme, can be found on the website: http://www.maths.dur.ac.uk/users/matthias.troffaes/siptass16/index.html For more information on the WPMSIIP workshop, please see: http://www.maths.dur.ac.uk/users/matthias.troffaes/wpmsiip2016/index.html We are looking forward to meeting you in Durham. We also encourage you to circulate this announcement in your networks. Best regards, The organizing committee Matthias Troffaes Gert de Cooman Olivier Strauss Andrea Wiencierz

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[SIPTA] CFP: ISWC Workshop on Uncertainty Reasoning for the Semantic Web (URSW'16)
by Thomas Lukasiewicz 09 May '16

09 May '16

========================================================== CALL FOR PAPERS 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) http://c4i.gmu.edu/ursw/2016 In conjunction with the 15th International Semantic Web Conference (ISWC 2016), Kobe, Japan October 17 or 18, 2016 ========================================================== You are invited to participate in the upcoming workshop on Uncertainty Reasoning for the Semantic Web (URSW), to be held as part of the 15th International Semantic Web Conference (ISWC) in October 17-21, 2016 Kobe, Japan. ISWC is a major international forum for presenting visionary research on all aspects of the Semantic Web. The Uncertainty Reasoning workshop is an exciting opportunity for collaboration and cross-fertilization between the uncertainty reasoning community and the Semantic Web / Linked Data community. Effective methods for reasoning under uncertainty are vital for realizing many aspects of the Semantic Web vision, but the ability of current-generation web technology to handle uncertainty remains extremely limited. Thus, there is a continuing demand for uncertainty reasoning technology among Semantic Web researchers and developers, and the URSW workshop creates a unique opening to bring together two communities with a clear commonality of interest but limited history of interaction. By capitalizing on this opportunity, URSW could spark dramatic progress toward realizing the Semantic Web vision. AUDIENCE The intended audience for this workshop includes the following * Researchers in uncertain reasoning technologies with interest in the Semantic Web and Linked Data * Semantic Web and Linked Data developers and researchers * People in the knowledge representation community with interest in the Semantic Web and Linked Data * Ontology researchers and ontological engineers * Web services researchers and developers with interest in the Semantic Web * Developers of tools designed to support semantic web implementation, e.g., Jena developers, Protégé developers, OWL-API developers... TOPIC LIST We intend to have an open discussion on any topic relevant to the general subject of uncertainty in the Semantic Web and Linked Data (including fuzzy theory, probability theory, and other approaches). Therefore, the following list should be just an initial guide. * Syntax and semantics for extensions to Semantic Web / Linked Data languages to enable representation of uncertainty * Logical formalisms to support uncertainty in Semantic Web / Linked Data languages * Probability theory as a means of assessing the likelihood that terms in different ontologies refer to the same or similar concepts * Architectures for applying plausible reasoning to the problem of ontology mapping * Using fuzzy approaches to deal with imprecise concepts within ontologies * The concept of a probabilistic ontology and its relevance to the Semantic Web * Best practices for representing uncertain, incomplete, ambiguous, or controversial information in the Semantic Web / Linked Data * The role of uncertainty as it relates to web services and cloud computing * Interface protocols with support for uncertainty as a means to improve interoperability among web services * Uncertainty reasoning techniques applied to trust issues in the Semantic Web and Linked Data * Existing implementations of uncertainty reasoning tools in the context of the Semantic Web and Linked Data * Issues and techniques for integrating tools for representing and reasoning with uncertainty; * The future of uncertainty reasoning for the Semantic Web and Linked Data IMPORTANT DATES * July 7, 2016: Paper submissions due * July 31: Paper acceptance notification * August 7: Camera-ready papers due * Oct 17 or 18: 12th International Workshop on Uncertainty Reasoning for the Semantic Web SUBMISSION DETAILS The URSW will be accepting submissions of technical papers and position papers. Each submission will be evaluated for acceptability by at least three members of the Program Committee. Decisions about acceptance will be based on relevance to the above topic list, originality, potential significance, topicality and clarity. Since all accepted papers will be presented at the workshop, we require that at least one of the submitting authors must be a registered participant at the ISWC 2016 Conference, and committed to attend the URSW Workshop. Submissions to the workshop are only accepted in electronic format and should be sent via the workshop's EasyChair submission site: http://www.easychair.org/conferences/?conf=ursw2016 Papers must be formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). This is the very same format adopted by the ISWC 2016. For complete details, see Springer's Author Instructions (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0) Technical papers submitted to the URSW Workshop must not exceed 12 pages, including figures and references. Submissions exceeding this limit will not be reviewed. Position papers consist of a summary of ideas, projects, or any research efforts that are relevant to the URSW Workshop and must not exceed 4 pages. Following the general acceptance rules of the ISWC 2016 conference, papers that, at the time of submission, are under review for or have already been published in or accepted for publication in a journal or another conference will not be accepted to the URSW workshop. PRESENTATION AND PUBLICATION All papers accepted to the URSW will be presented during the workshop and published in the workshop proceedings. Authors of accepted technical papers will have 20 minutes to present their work, while authors of accepted position papers will have a 10-minute slot to share their ideas. After each presentation, 5 minutes will be allocated to questions from the audience. Both technical and position papers will be published in the URSW workshop proceedings, to be available after the ISWC 2016 conference. In addition, we are planning a journal special issue or Lecture Notes in Computer Science/ Lecture Notes in Artificial Intelligence (LNCS/LNAI) volume with selected extended and revised versions of technical papers presented at URSW 2016. ORGANIZING COMMITTEE * Fernando Bobillo - University of Zaragoza, Spain * Rommel N. Carvalho - Brazil's Office of the Comptroller General / University of Brasília, Brazil * Davide Ceolin - VU University Amsterdam, The Netherlands * Paulo C. G. Costa - George Mason University, USA * Claudia d'Amato - University of Bari, Italy * Nicola Fanizzi - University of Bari, Italy * Kathryn Laskey - George Mason University, USA * Kenneth J. Laskey - MITRE Corporation, USA * Thomas Lukasiewicz - University of Oxford, UK * Trevor Martin - University of Bristol, UK * Matthias Nickles - INSIGHT Centre for Data Analytics, National University of Ireland, Galway, Ireland * Michael Pool - Credit Suisse, USA

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[SIPTA] CfP - Knowledge Science, Engineering & Management (KSEM) Conference, 5-7 October 2016
by KSEM 26 Apr '16

26 Apr '16

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[SIPTA] PGM 2016 Call for Papers
by Giorgio Corani 26 Apr '16

26 Apr '16

==Call for Papers PGM 2016 is the eight edition of the International Conference on Probabilistic Graphical Models. It will take place in Lugano (Switzerland) between the 6th and the 9th of September 2016. The site of the conference is http://pgm.idsia.ch. It welcomes both theoretical and applied contributions regarding probabilistic graphical models. ==Important Dates May 20, 2016: Paper submission deadline June 10, 2016: Author notification June 24, 2016: Camera-ready copy due September 6-9, 2016: Conference ==Submissions instructions The instructions for submission and the author kit are available here: http://www2.idsia.ch/cms/pgm/submissions/ The page limit is 12 pages in the JMLR style. Each submission will be double-blind reviewed by three referees. ==JMLR Proceedings The conference proceedings will be published in the proceedings track (http://jmlr.csail.mit.edu/proceedings/) of the Journal of Machine Learning Research (JMLR). ==IJAR Special Issue Selected papers will be invited to be extended to constitute a special issue of the International Journal of Approximate Reasoning (IJAR). ==Invited Speakers We are pleased to have three distinguished invited speakers. Guido Consonni is Professor of Statistics at Università Cattolica del Sacro Cuore, Milan, Italy. His current research topics are in the area of: model selection, graphical models and Bayesian networks, objective Bayesian analysis, models for high-dimensional data, hierarchical models. He is Chair of the Objective Bayes Section of the International Society for Bayesian Analysis (ISBA). Fabio G. Cozman is Professor at Universidade de São Paulo, Brazil. He works with probabilistic reasoning and machine learning, with a special interest in formalisms that extend probability theory. He got a PhD in Robotics at Carnegie Mellon University, and has served, among other activities, as Program and General Chair of the Conf. on Uncertainty in Artificial Intelligence, Area Chair (Machine Learning track) of the Int. Joint Conf. on Artificial Intelligence, and as member of the Editorial Board of the Artificial Intelligence Journal, as well as Associate Editor of the Journal of Artificial Intelligence Research and of the Journal of Approximate Reasoning Adnan Darwiche is Professor and former Chairman of the Computer Science Department at UCLA. His research focuses on the theory and practice of symbolic and probabilistic reasoning, with recent applications to machine learning. He served as editor-in-chief of the Journal of Artificial Intelligence Research (JAIR) and is an AAAI fellow. He is also author of "Modeling and Reasoning with Bayesian Networks," published by Cambridge University Press in 2009. ==Tutorials We will have two tutorials. "Computational Complexity of Bayesian Networks and Markov Random Fields", by Cassio P. de Campos (Reader at Queen’s University Belfast, UK) and Johan Kwisthout (Lecturer at Radboud University, Artificial Intelligence Department, Netherlands). "Learning Sum-Product Networks", by Nicola Di Mauro, Professor at the University of Bari, Italy, and by Antonio Vergari, PhD student at the University of Bari. This tutorial is an ECCAI invited talk, supported by the ECCAI conference sponsorship program.

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Re: [SIPTA] SMC 2016 - Call for Demo Papers
by Kreinovich 26 Apr '16

26 Apr '16

FYI, contributions related to imprecise probabilities are always welcome at this series of conferences -----Original Message----- From: SMC2016 [mailto:ieeesmc2016(a)gmail.com] Sent: Monday, April 25, 2016 1:31 AM Dear Colleagues: The 2016 IEEE International Conference on Systems, Man, and Cybernetics provides an international forum for researchers and practitioners to report up-to-the-minute research and innovations, demonstrate state-of-the-art systems, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. The goal of the Demo Papers category is to promote applied research and applications, as well as bridge collaboration between industrial and academic members of the SMC community. Demo papers are intended to provide a platform for participants to demonstrate their technological advancements. Authors are invited to submit demo papers (maximum 2-page two-column format extended summary + at most 1 GB short demo video). Submission of Demo Papers and Video IEEE format guidelines and instructions for submitting demo papers (two-column format) will be available on the Paper Submission pages of the SMC2016 website. Please upload your short demo video via ftp website and use the "corresponding" paper number to entitle your demo film. Ftp website: 140.118.207.106 User name: SMC2016 Password: ieeesmc2016 The maximum size for video attachments is 1 GB. The accepted video format includes MPEG1, MPEG2, AVI, FLV, RM, and RMVB. Presentation of Demos at SMC2016 Authors who are selected for the Demo Papers Session will be provided a table to display their demo in the Exhibition location. No additional equipment is to be supported from the organizing committee. Authors are responsible to set up their own demos. Security services for safeguarding equipment in the Exhibition location will be available during the conference. For any question, please do not hesitate to contact: Demo Papers Session Chairs Prof. Yo-Ping Huang Department of Electrical Engineering National Taipei University of Technology email: yphuang(a)ntut.edu.tw

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[SIPTA] Documentation page back online!
by Sébastien Destercke 09 Apr '16

09 Apr '16

Dear Siptians, We are happy to let you know that the SIPTA documentation page is back online at the following address: http://www.sipta.org/index.php?id=doc The goal of this page is to provide introductory or review documents about different aspects of imprecise probabilities. We would like to update and complement its current content as much as possible. Any person willing to contribute to this page, either by providing links to interesting (open access) review papers or by writing original contributions is encouraged to do so. Please send your proposals directly to the executive editor (sebastien.destercke(a)hds.utc.fr). With our best regards The executive committee.

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[SIPTA] 9th WPMSIIP 2016 - Durham, 2-6 September 2016
by COOLEN F.P.A. 08 Apr '16

08 Apr '16

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[SIPTA] 7th SIPTA Summer School on Imprecise Probability - extended pre-registration deadline
by Matthias Troffaes 05 Apr '16

05 Apr '16

[All our apologies for cross-posting.] Seventh school of the Society for Imprecise Probability: Theories and Applications (SIPTA), Aug 29 - Sep 2, 2016, Durham, UK. The pre-registration deadline has been exteded to: Friday 22 April 2016 http://www.maths.dur.ac.uk/users/matthias.troffaes/siptass16/registration.h… Are you interested in modelling severe uncertainty in your applications? Are you worried about the impact of the choice of prior in your Bayesian analysis? Are you interested in prior-data conflict and/or missing data? Do you want to learn how imprecise probability can help you making robust decisions under uncertainty? Then the SIPTA summer school is for you! The Society for Imprecise Probability: Theories and Applications (SIPTA) organizes the 7th edition of its school in Durham, UK, during Aug 29 - Sep 2 2016. The school will be held at the Department of Mathematical Sciences, Durham University, close to the city centre of Durham. The aim of the SIPTA schools is to introduce interested students and researchers to the basics of imprecise probability topics, both theoretical and applied. Some of the best specialists in different aspects of imprecise probabilities lecture, during one week, on the main concepts and techniques in their area of expertise, in a friendly environment favouring interactions between participants. The topics covered this year will provide a general introduction to the latest developments in imprecise probability theory. There will also be a focus on applications of imprecise probabilities in risk analysis in engineering and environmental systems. Students will learn how to deal with situations where information is scarce, vague, or conflicting, and when a unique probability distribution may be hard to identify, from mathematical modelling to statistical inference and practical decision making. A basic understanding of probability and calculus are required (first year university level). A knowledge of Bayesian statistics is an advantage but is not required. Further information concerning registration, as well as a detailed programme, can be found on the website: http://www.maths.dur.ac.uk/users/matthias.troffaes/siptass16/index.html We are looking forward to meeting you in Durham. We also encourage you to circulate this announcement in your networks. Best regards, The organizing committee Matthias Troffaes Frank Coolen Gert de Cooman Olivier Strauss Andrea Wiencierz

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[SIPTA] associate prof. position in Telecom Lille
by klein 01 Apr '16

01 Apr '16

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[SIPTA] PGM 2016 Call for Papers (deadline May 20)
by Alessandro Antonucci 29 Mar '16

29 Mar '16

PGM 2016 is the eight edition of the International Conference on Probabilistic Graphical Models. It will take place in Lugano (Switzerland) between the 6th and the 9th of September 2016. The conference website is http://pgm.idsia.ch. It welcomes contributions on all aspects of graphical models including probabilistic reasoning, decision making, learning and data mining. Both theoretical and applied contributions are welcome. The deadline for submissions is May 20, 2016. ::: PROCEEDINGS ::: The accepted papers will be published in the proceedings track (http://jmlr.csail.mit.edu/proceedings/) of the Journal of Machine Learning Research (JMLR). Submission instructions and the author's kit are available at http://www2.idsia.ch/cms/pgm/submissions The page limit is 12 pages in the JMLR (single-column) style. Each submission will be double-blind reviewed by three referees. ::: IJAR Special Issue ::: Selected papers will be invited to be extended and then submitted to a special issue of the International Journal of Approximate Reasoning (IJAR). ::: INVITED SPEAKERS ::: We are pleased to have three distinguished invited speakers. Guido Consonni is Professor of Statistics at Università Cattolica del Sacro Cuore, Milan, Italy. His current research topics are in the area of: model selection, graphical models and Bayesian networks, objective Bayesian analysis, models for high-dimensional data, hierarchical models. He is Chair of the Objective Bayes Section of the International Society for Bayesian Analysis (ISBA). Fabio G. Cozman is Professor at Universidade de São Paulo, Brazil. He works with probabilistic reasoning and machine learning, with a special interest in formalisms that extend probability theory. He has served as Program and General Chair of the Conf. on Uncertainty in Artificial Intelligence, Area Chair of the Int. Joint Conf. on Artificial Intelligence, and as Associate Editor of the Journal of Artificial Intelligence Research and of the Journal of Approximate Reasoning, as well as of the Artificial Intelligence Journal. Adnan Darwiche is Professor and former Chairman of the Computer Science Department at UCLA. His research focuses on the theory and practice of symbolic and probabilistic reasoning, with recent applications to machine learning. He served as editor-in-chief of the Journal of Artificial Intelligence Research (JAIR) and is an AAAI fellow. He is also author of "Modeling and Reasoning with Bayesian Networks", published by Cambridge University Press in 2009. ::: TUTORIALS ::: We will have two tutorials. "Computational Complexity of Bayesian Networks and Markov Random Fields", by Cassio P. de Campos, Reader at Queen’s University Belfast, UK, and Johan Kwisthout, senior staff member in the Artificial Intelligence Program at Radboud University, The Netherlands. "Learning Sum-Product Networks", by Nicola Di Mauro, Professor at the University of Bari, Italy, and by Antonio Vergari, PhD student at the University of Bari. This tutorial is an ECCAI invited talk, supported by the ECCAI conference sponsorship program. ::: DEADLINES ::: May 20, 2016: Paper submission deadline June 10, 2016: Author notification June 24, 2016: Camera-ready copy due September 6-9, 2016: Conference _________________________________ 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 _________________________________

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