The 20th International Conference on Inductive Logic Programming (ILP 2010) will be held in Firenze, Italy, from Sunday 27th to Wednesday 30th June 2010.

ILP started in 1991 and is the premier international forum on logic-based and relational learning. The conference has recently explored several intersections to statistical learning and other probabilistic approaches, expanding research horizons significantly. Last year ILP was jointly organized in Leuven with SRL-2009, the International Workshop on Statistical Relational Learning; and MLG-2009, the 7th International Workshop on Mining and Learning with Graphs, bringing together over 120 participants. ILP 2010 will take place immediately after ICML 2010, which will be organized in Haifa, Israel.

Program chairs

• Paolo Frasconi Università degli Studi di Firenze, Italy
• Francesca A. Lisi Università degli Studi di Bari Aldo Moro, Italy

Program committee

• Erick Alphonse Université Paris-Nord, France
• Annalisa Appice Università degli Studi di Bari Aldo Moro, Italy
• Hendrik Blockeel Katholieke Universiteit Leuven, Belgium
• James Cussens University of York, UK
• Luc De Raedt Katholieke Universiteit Leuven, Belgium
• Sašo Džeroski Institut Jožef Stefan, Slovenija
• Nicola Fanizzi Università degli Studi di Bari Aldo Moro, Italy
• Alan Fern Oregon State University, USA
• Peter Flach University of Bristol, UK
• Nuno Fonseca Center for Research in Advanced Computing Systems, PortugalLise Getoor University of Maryland, College Park, USA
• Pascal Hitzler Wright State University, USA
• Tamás Horváth Universität Bonn & Fraunhofer IAIS, GermanyKatsumi Inoue National Institute of Informatics, Japan
• Manfred Jaeger Aalborg Universitet, Denmark
• Kristian Kersting Universität Bonn & Fraunhofer IAIS, Germany
• Ross King University of Wales, Aberystwyth, UK
• Tolga Könik Stanford University, USA
• Stefan Kramer Technische Universität München, Germany
• Niels Landwher Universität Potsdam, Germany
• Nada Lavrač Institut Jožef Stefan, Slovenija
• Sofus Macskassy Fetch Technologies, USA
• Donato Malerba Università degli Studi di Bari Aldo Moro, Italy
• Lily Mihalkova University of Maryland, College Park, USA
• Brian Milch Google, USA
• Stephen Muggleton Imperial College London, UK
• Ramon Otero Universidade da Coruña, Spain
• David Page University of Wisconsin-Madison, USA
• Andrea Passerini Università di Trento, Italy
• Jan Ramon Katholieke Universiteit Leuven, Belgium
• Oliver Ray University of Bristol, UK
• Vítor Santos Costa Universidade do Porto, Portugal
• Chiaki Sakama Wakayama University, Japan
• Taisuke Sato Tokyo Institute of Technology, Japan
• Jude Shavlik University of Wisconsin-Madison, USA
• Takayoshi Shoudai Kyushu University, Japan
• Ashwin Srinivasan IBM India Research, India
• Prasad Tadepalli Oregon State University, USA
• Volker Tresp Siemens AG, Germany
• Christel Vrain Université d'Orléans, France
• Stefan Wrobel Fraunhofer IAIS & Universität Bonn, Germany
• Akihiro Yamamoto Kyoto University, Japan
• Gerson Zaverucha Universidade Federal do Rio de Janeiro, Brazil
• Filip Železný Czech Technical University in Prague, Czech Republic

The 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010) will be organized on beautiful Catalina Island, California (near Los Angeles), on July 8-11, 2010. UAI is supported by the Association for Uncertainty in Artificial Intelligence (AUAI).

The mission of the Extended Semantic Web Conference (ESWC 2010) is to bring together researchers and practioners dealing with different aspects of semantics on the Web. ESWC2010 builds on the success of the former European Semantic Web Conference series, but seeks to extend its focus by engaging with other communities within and outside ICT, in which semantics can play an important role. At the same time, ESWC2010 is a truly international conference.

Semantics of web content, enriched with domain theories (ontologies), data about web usage, natural language processing, etc. will enable a web that provides a qualitatively new level of functionality. It will weave together a large network of human knowledge and make this knowledge machine-processable. Various automated services, based on reasoning with metadata and ontologies, will help the users to achieve their goals by accessing and processing information in machine-understandable form. This network of knowledge systems will ultimately lead to truly intelligent systems, which will be employed for various complex decision-making tasks. Research about web semantics can benefit from ideas and cross-fertilization with many other areas: Artificial Intelligence, Natural Language Processing, Database and Information Systems, Information Retrieval, Multimedia, Distributed Systems, Social Networks, Web Engineering, and Web Science.

ESWC2010 will present the latest results in research and applications in its field. The research program will be organised in targeted tracks. In addition, the conference will feature a tutorial program, system descriptions and demos, a posters track, a Ph.D. symposium and a number of collocated workshops. The calls for these events are separate and can be found on the conference Web site (http://www.eswc2010.org/).

General chair

• Lora Aroyo, VU University Amsterdam, NL

Program Chairs

• Grigoris Antoniou, University of Crete, GR
• Eero Hyvönen, Aalto University, FI

This is the thirteenth conference conference on Artificial Intelligence and Statistics and the first to be held in Europe. Formerly AISTATS was held every two years. In the future the plan is to hold the meeting each year alternating between North America and Europe. AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, statistics, and related areas. Since its inception in 1985, the primary goal of this conference has been to broaden research in both of these fields by promoting the exchange of ideas between them. We encourage the submission of all papers which are in keeping with this objective.

General Chair

• Neil Lawrence, University of Manchester, U.K.

Program Chairs

• Yee Whye Teh, University College London, U.K.
• Mike Titterington, University of Glasgow, U.K.

Senior Program Committee

• Yasemin Altun,  Max Planck Institute, Tübingen
• Francis Bach,  INRIA - École Normale Supérieure
• Arnaud Doucet,  University of British Columbia
• Hal Daume III,  University of Utah
• Mark Girolami,  University of Glasgow
• Jim Griffin,  University of Kent
• Carlos Guestrin,  Carnegie Mellon University
• Dirk Husmeier,  Biomathematics and Statistics Scotland
• Bani Mallick,  Texas A&M University
• Iain Murray,  University of Toronto/University of Edinburgh
• Brendan Murphy,  University College Dublin
• Kevin Murphy,  University of British Columbia
• Omiros Papaspiliopoulos,  Universitat Pompeu Fabra
• Thomas Richardson,  University of Washington
• Matthias Seeger,  Saarland University/Max Planck Institute for Informatics
• Nathan Srebro,  Toyota Technological Institute at Chicago
• Erik Sudderth,  Brown University
• John Winn,  Microsoft Research
• Ming Yuan,  Georgia Tech
• Hui Zou,  University of Minnesota

Advisory Board for European Meetings

• Nicolò Cesa Bianchi,  Università degli Studi di Milano
• Phil Dawid,  University of Cambridge
• Zoubin Ghahramani,  University of Cambridge
• David Hand,  Imperial College, London
• Sami Kaski,  Helsinki University of Technology
• Daryl Pregibon,  Google Research, New York
• Bernhard Schölkopf,  Max Planck Institute, Tübingen
• John Shawe-Taylor,  University College London
• Max Welling,  University of California, Irvine
• Chris Williams,  University of Edinburgh

The International Association of Pattern Recognition (IAPR) sponsored conference aims to bring together top researchers, practitioners and students from around the world to discuss the applications of pattern recognition methods in the field of bioinformatics to solve problems in the life sciences. Prospective authors are invited to submit papers in the research areas of interest to the workshop. These include:

• Bio-sequence analysis
• Gene and protein expression analysis
• Protein structure and interaction prediction
• Motifs and signal detection
• Metabolic modelling and analysis
• Systems and synthetic biology
• Pathway and network analysis
• Immuno- and chemo-informatics
• Evolution and phylogeny
• Biological databases, integration and visualisation
• Bio-imaging

Pattern recognition techniques of interest include, but not limited to:

• Static, syntactic and structural pattern recognition
• Data mining, Data based modelling
• Neural networks, Fuzzy systems
• Evolutionary computation and swarm intelligence
• Hidden Markov models, Graphical models

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) will take place in Bled, Slovenia, from September 7th to 11th, 2009. This event builds upon a very successful series of 19 ECML and 12 PKDD conferences, which have been jointly organized for the past eight years. It has become the major European scientific event in these fields and in 2009 it will comprise presentations of contributed papers and invited speakers, a wide program of workshops and tutorials, a discovery challenge, a demo track and an industrial track.

The ILP conference series has been the premier forum for work on logic-based approaches to learning for almost two decades. It has recently reached out to other forms of relational learning and to probabilistic approaches.

The MLG workshop series focuses on graph-based approaches to machine learning and data mining; since its conception in 2003, attendance numbers have consistently increased, and it now enjoys worldwide recognition.

The SRL workshop series focuses on statistical inference and learning with relational and first-order logical representations. The combination of probability theory with relational (or first-order logic) knowledge representations has been the subject of much recent research.

While the three series clearly have their own identity, there is a significant overlap in the topics covered by each of them. The aim of this colocation is to increase interaction between the three communities. The format of the joint event will stimulate such interaction by providing joint invited speakers and tutorials, joint sessions and poster sessions, and ample time and space for discussions in smaller groups, in addition to the regular programs of the three events.

Detailed calls for papers for the respective workshops, including submission instructions, are available in the specific pages for each conference.

Submissions to the events will be in the form of extended abstracts which can be accepted for either an oral or a poster presentation. The abstracts will be made available in an informal way. As it is the goal that the very best work in the area be presented at the events, authors are explicitly encouraged to submit extended abstracts of high quality work in the area that has recently been accepted or published at key venues.

A joint special issue of the Machine Learning Journal on ILP - SRL - MLG will be published after the conference. Authors of selected papers will be invited after the conference to submit a longer version (up to 20 pages) of their paper to the special issue by September 1. These papers will be on a fast track to publication in the issue, which implies that decisions on whether or not to accept the papers (possibly with revisions) will be made quickly.

Organisation

• ILP Program Chair: Luc De Raedt
• SRL Program Chairs: Pedro Domingos, Kristian Kersting
• MLG Program Chairs: Hendrik Blockeel, Karsten Borgwardt, Xifeng Yan
• General chair: Luc De Raedt

The 26th International Conference on Machine Learning (ICML 2009) will be organized in Montreal, Canada on June 14-18, 2009. ICML is the leading international machine learning conference, attracting annually about 500 participants from all over the world. ICML is supported by the International Machine Learning Society (IMLS).

ICML is co-located with two closely related conferences, the 25th Conference on Uncertainty in Artificial Intelligence (UAI) and the 22nd Annual Conference on Learning Theory (COLT). A Multidisciplinary Symposium on Reinforcement Learning will also be co-located.

This one day mini-conference on statistical mechanics of glassy and complex systems is meant to cover physics of structural glasses, spin glasses, poly-disperse systems, biological networks econophysics, optimisation, machine learning and more.

We would like to keep this at an informal level.

Depending on the level of interest, the format might consist of talks of approximately 20 minutes throughout the day, or alternatively of a smaller number of talks of similar length, supplemented by short (3-5 min) presentations - a pattern that has been used for many years at the annual Journees de Physique Statistique sessions in Paris.

Organizers

• Alessia Annibale
• Ton Coolen
• Eytan Katzav
• Reimer Kuehn
• Isaac Perez Castillo
• Peter Sollich

The vision of the Semantic Web is to enhance today's Web by exploiting machine-processable metadata. The explicit representation of the semantics of data, enriched with domain theories (ontologies), will enable a web that provides a qualitatively new level of service. It will weave together a large network of human knowledge and makes this knowledge machine-processable. Various automated services will help the users to achieve their goals by accessing and processing information in machine-understandable form. This network of knowledge systems will ultimately lead to truly intelligent systems, which will be employed for various complex decision-making tasks. Semantic Web research can benefit from ideas and cross-fertilization with many other areas: Artificial Intelligence, Natural Language Processing, Databases and Information Systems, Information Retrieval, Multimedia, Distributed Systems, Social Networks and Web Engineering. Many advances within these areas can contribute towards the realization of the Semantic Web.

The 6th Annual European Semantic Web Conference (ESWC2009) presented the latest results in research and applications of Semantic Web technologies. ESWC2009 also featured a tutorial program, system descriptions and demos, a poster track, a PhD Symposium and a number of collocated workshops.