The 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010)
July 8th – July 11th, 2010, Catalina Island, California, U.S.A. (near Los Angeles)
http://event.cwi.nl/uai2010
SECOND CALL FOR PAPERS (DEADLINE MARCH 12TH)
IMPORTANT NOTICE – NEW FEATURE
UAI has traditionally mostly attracted submissions from computer scientists, even though reasoning under uncertainty is an important topic in many other areas such as, for example, statistics, economics (game theory), information theory and philosophy. This year, we especially encourage submissions from researchers working in such fields.
To accommodate the publishing traditions of these fields, authors may instead submit working papers that are under review or nearly ready for journal review. These submissions will be subject to review and considered for presentation at the conference but not for publication in the proceedings. These submissions need not conform to the conference paper format. Abstracts (max. 1 page) of accepted working papers will be included in the proceedings and must be coupled with a URL that points to the full paper and that will be reliable for at least two years. Open access is strongly preferred although the paper can be hosted by a publisher who takes copyright and limits access, as long as there is a link to the location.
GENERAL INFO
The 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010) will take place on July 8-11, 2010 on beautiful Catalina Island, California (near Los Angeles). The tutorial day is on July 8th, and the main conference is from July 9 to 11. We have an exciting program of tutorials and invited speakers, see below.
We encourage submissions that report on theoretical or methodological advances in modeling, inference, learning and decision making under uncertainty. Submissions reporting on novel and insightful applications of these techniques within intelligent systems are also strongly encouraged. Examples of such application areas include, but are not limited to, computational biology, computer vision, speech processing, computational linguistics, information retrieval, medical systems, multi-agent systems and sensor networks.
IMPORTANT DATES
• Friday, March 12, 2010 UAI paper submissions due (11.59pm, GMT)
• Monday, March 22, 2010 UAI student paper certification (11.59pm, GMT)
• Monday, April 26, 2010 Reviews available/author feedback period begins
• Wednesday, May 5, 2010 Author feedback on reviews due (11.59pm, GMT)
• Monday, May 31, 2010 UAI author notification
• Monday June 14, 2010 UAI camera ready copy of accepted papers due (11.59pm, GMT)
• Monday June 21, 2010 Scholarship applications due
• Thursday June 24, 2010 Early registration deadline
• July 8, 2010 Tutorials
• July 9-11, 2010 UAI conference
NOTE: midnight GMT = 7pm EST = 4pm PST
PAPER SUBMISSION DETAILS
UAI 2010 requires electronic submission of papers and abstracts according to instructions that will be posted before February 26th at event.cwi.nl/uai2010.
A submitted paper should not be under review by any other conference or scientific journal at the time it is submitted to UAI 2010 or at any time during the reviewing period of UAI 2010. At the time of submission, a paper should also not have already been accepted for publication in a journal. We do coordinate with several other conferences to avoid that essentially identical papers are sent to UAI and any of these other conferences.
PRESENTATION, PROCEEDINGS, and AWARDS
Accepted papers will be presented at the conference in either plenary or poster sessions. At least one of the paper’s authors should be present at the conference to present the work. All accepted papers will be included in the Proceedings of the Twenty Sixth Conference on Uncertainty in Artificial Intelligence. The program committee will select papers for special distinction in two categories at UAI 2010: a “Best Paper” award, and an “Outstanding Student Paper” award. The conference home page will contain instructions for certifying student status with regards to the latter award.
ORGANIZATION
General Conference Chair
Jeff Bilmes, University of Washington
Program Co-Chairs
Peter Grünwald, Centrum voor Wiskunde en Informatica and Leiden University
Peter Spirtes, Carnegie Mellon University
TUTORIALS (PRELIMINARY TITLES)
Learning and Reasoning With Incomplete Data: Foundations and Algorithms
Manfred Jaeger, Aalborg University
Non-Gaussian methods for learning linear structural equation models
Shohei Shimizu and Yoshinobu Kawahara, Osaka University
<br />
Sanjoy Dasgupta, UC San Diego</p>
<p>BANQUET SPEAKER</p>
<p>Computer vision and pattern recognition in the study of fine art:<br />
Steps towards a new, computer-aided connoisseurship<br />
David Stork</p>
<p>INVITED TALKS</p>
<p>Graphical Models for Structural Biology<br />
Christopher Langmead, Carnegie Mellon University</p>
<p>Markovian (and conceivably causal) representations of stochastic processes<br />
Cosma Shalizi, Sante Fe Institute and Carnegie Mellon University</p>
<p>Wisdom of Crowds and Rank Aggregation<br />
Mark Steyvers, UC Irvine</p>
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<p class="datetime">March 16, 2010</p>
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<h2 class="entry-title"><a href="https://k4all.org/2010/03/mlsp-2010-competition-mind-reading/" rel="bookmark">MLSP 2010 Competition: Mind Reading</a></h2>
<p>http://mlsp2010.conwiz.dk<br />
http://www.bme.ogi.edu/~hildk/mlsp2010Competition.html</p>
<p>Competition supported by Nokia and PASCAL2 Challenge Program</p>
<p>Goal: The goal is to select/design a classifier (and any pre-processing<br />
systems, including a feature extractor) that correctly classifies EEG<br />
data into one of two classes. The winner will be the submission that<br />
maximizes the area under the ROC curve.</p>
<p>Eligibility: Anyone that has an interest in machine learning and that<br />
has access to Matlab.</p>
<p>Registration: Registration is not required. However, if you wish to<br />
receive important updates on the competition by email then please send a<br />
request to the address provided on the web page.</p>
<p>Deadline: Submissions must be emailed to the email address provided<br />
at the web page no later than one week after the main conference paper<br />
submission deadline, i.e. by April 8, 2010.</p>
<p>Awards: Up to two N900 high-performance mobile computers from<br />
Nokia and travel stipends to MLSP 2010 by PASCAL2 will be awarded as prizes.</p>
<p>Data and more details: Available on the competition page.<br />
http://www.bme.ogi.edu/~hildk/mlsp2010Competition.html</p>
<p>Competition Chairs: Mikko Kurimo, Vince Calhoun, Kenneth Hild </p>
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<p class="datetime">March 16, 2010</p>
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<span class="cat-links">
<a href="https://k4all.org/category/pascal2/" rel="category tag">PASCAL2</a> </span>
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<h2 class="entry-title"><a href="https://k4all.org/2010/03/call-for-participation-morpho-challenge-2010-semi-supervised-and-unsupervised-analysis/" rel="bookmark">Call for Participation: Morpho Challenge 2010 – Semi-supervised and Unsupervised Analysis</a></h2>
<p>http://www.cis.hut.fi/morphochallenge2010/</p>
<p>Morpho Challenge 2010 – Semi-supervised and Unsupervised Analysis</p>
<p>Part of the EU Network of Excellence PASCAL2 Challenge Program.<br />
Participation is open to all.</p>
<p>The objective of the Challenge is to design a statistical machine<br />
learning algorithm that discovers which morphemes (smallest individually<br />
meaningful units of language) words consist of. Ideally, these are basic<br />
vocabulary units suitable for different tasks, such as text<br />
understanding, machine translation, information retrieval, and<br />
statistical language modeling.</p>
<p>The scientific goals are:<br />
* To learn of the phenomena underlying word construction in natural<br />
languages<br />
* To discover approaches suitable for a wide range of languages<br />
* To advance machine learning methodology</p>
<p>Morpho Challenge 2010 is a follow-up to our previous Morpho Challenge<br />
2005, 2007, 2008 and 2009. The task in 2010 is similar to 2009, where<br />
the aim was to find the morpheme analysis of the word forms in the data.<br />
As a new task we will provide a possibility for semi-supervised learning<br />
using the available linguistic gold standard morpheme analysis.</p>
<p>Participation in the previous challenges is by no means a prerequisite<br />
for participation in Morpho Challenge 2010. Everyone is welcome and we<br />
hope to attract many participating teams. The results will be presented<br />
in a workshop organized at our university in 2-3 September 2010. Please<br />
read the rules and see the schedule at the home page.</p>
<p>If you now decided to participate in Morpho Challenge, please contact<br />
the organizers and ask to be added in our mailing list. We will use this<br />
mailing list to provide news about the tasks, data and evaluations.</p>
<p>We are looking forward to an interesting challenge!</p>
<p> Mikko Kurimo, Krista Lagus, Sami Virpioja and Ville Turunen<br />
Adaptive Informatics Research Centre, Aalto University (previously<br />
known as Helsinki University of Technology)<br />
The organizers</p>
<p>http://www.cis.hut.fi/morphochallenge2010/ </p>
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<p class="datetime">March 16, 2010</p>
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<a href="https://k4all.org/category/pascal2/" rel="category tag">PASCAL2</a> </span>
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<h2 class="entry-title"><a href="https://k4all.org/2010/03/call-for-ph-d-identification-of-medical-endocrine-systems/" rel="bookmark">call for Ph.D.: ‘Identification of Medical Endocrine Systems’</a></h2>
<p>The research group Syscon in the department of Information Technology of Uppsala University (Sweden) (http://www.it.uu.se/research/syscon) invites applications for a Ph.D. studentship (4-5 years). The succesful applicant will work in the context of the ERC project on engineering for endocrine systems, entitled “Systems and Signals Tools for Estimation and Analysis of Mathematical Models in Endocrinology and Neurology”. Especially motivated students with a strong background in engineering, computer science, applied mathematics or alike are encouraged to apply. This research will be conducted under supervision of Kristiaan Pelckmans, Alexander Medvedev and Petre Stoica.</p>
<p>In this Ph.D. project we will explore different approaches to unravell complex interaction networks as observed in hormonal, dynamical systems of the human body. The study of such endocinous systems is important in order to understand cause and consequence of different diseases, notably Parkinsons’ and type II Diabetes. The key point is that such systems use complex interaction strategies, typically taking the form of pulsatile signals of concentration of hormones in the blood stream. As classical modeling tools are often not satifactoy for such signals, ample room for improvement and further exploration of either theoretical or applied research remains in this area.</p>
<p>The applicant will work in the framework of a larger cooperation with different medical teams, and work towards a practical solution based on a sound theoretical foundation. In order to obtain this, we will combine the best of such exciting research areas as system identification, machine learning, signal processing, theoretical computer science, flavoured with a healthy engineering perspective.</p>
<p>The closing date for applications is at the end of februari. The official anoucement will follow in due time. If you are interested or have any question, contact Kristiaan Pelckmans (kp(at)it.uu.se). </p>
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<p class="datetime">March 16, 2010</p>
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<a href="https://k4all.org/category/pascal2/" rel="category tag">PASCAL2</a> </span>
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<h2 class="entry-title"><a href="https://k4all.org/2010/03/phd-student-postdoc-positions-in-pltad/" rel="bookmark">PhD student / postdoc positions in PLT+AD</a></h2>
<p>Seeking PhD students and postdocs interested in an elegant combination<br />
of functional programming and big-iron style numeric computing.</p>
<p>Functional Programming and Automatic Differentiation<br />
PhD Studentships<br />
Postdoctoral Positions</p>
<p>We are adding exact first-class derivative calculation operators<br />
(Automatic Differentiation or AD) to the lambda calculus, and<br />
embodying the combination into a production-quality optimising<br />
compiler. Our research prototype compiler generates object code<br />
competitive with the fastest current systems, which are based on<br />
FORTRAN. We are seeking PhD students and postdocs with interest and<br />
experience in relevant areas: programming language theory, numeric<br />
computing/numeric linear algebra, or differential geometry; and a<br />
burning drive to help lift big iron numeric computing out of the 1960s<br />
and into a newer higher order. Specific sub-projects include:<br />
compiler and numeric programming environment construction; writing,<br />
simplifying, and generalising numeric algorithms through the use of AD<br />
operators; and associated type/lambda calculus/PLT/real computation<br />
issues.</p>
<p>The project headquarters will be in the Hamilton Institute, NUI<br />
Maynooth, Ireland, http://www.hamilton.ie/.</p>
<p>Applications to:<br />
“Barak A. Pearlmutter” <barak+ad-fp-job (at) cs.nuim.ie></p>
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<p class="datetime">March 11, 2010</p>
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<h2 class="entry-title"><a href="https://k4all.org/2010/03/french-spring-school-in-machine-learning/" rel="bookmark">French Spring School in Machine Learning</a></h2>
<p>We invite applications to attend the 1st French Spring School in Machine<br />
Learning (EPAT 2010) which will be held at Cap Hornu, in the beautiful Baie<br />
de Somme, from may 2 to may 7 2010. Detailed information is available at</p>
<p>http://www.hds.utc.fr/epat2010/</p>
<p>Targeted Audience:</p>
<p> The school is meant for PhD students, young researchers in machine<br />
learning and researchers from other research areas, such as signal<br />
processing or bioinformatics.<br />
Limited grants are available for PASCAL researchers.<br />
Note that the lectures will be given in French.</p>
<p>Application deadline: April 2, 2010</p>
<p>Aims:</p>
<p> Our objective is to gradually present a few important themes, from basics to<br />
recent advances. The selected themes are: </p>
<p> – Machine Learning: a Historical Perspective<br />
– Optimization Techniques for Non-differentiable Problems in ML<br />
– Kernel Methods<br />
– Data Analysis<br />
– Bioinformatics</p>
<p>Confirmed Lecturers:</p>
<p> Stéphane Chrétien, Université de Franche Comté<br />
Antoine Cornuéjols, AgroParisTech<br />
Marco Cuturi, Princeton University<br />
Mohamed Nadif , Université Paris Descartes<br />
Stéphane Robin, Institut National de la Recherche Agronomique (INRA)<br />
Jean-Philippe Vert, Mines ParisTech & Institut Curie, INSERM</p>
<p>Program Committee:</p>
<p> Stéphane Canu, LITIS, INSA Rouen<br />
Antoine Cornuéjols, LRI, AgroParisTech<br />
François Denis, LIF, Université de Provence<br />
Rémi Gilleron, INRIA, Lille<br />
Yves Grandvalet, Heudiasyc, Université de Technologie de Compiègne<br />
Rémi Munos, Mostrare INRIA, Université de Lille<br />
Liva Ralaivola, LIF, Université de Provence<br />
Marc Sebban, Laboratoire Hubert Curien, Université Jean Monnet<br />
Jean-Philippe Vert, Mines ParisTech & Institut Curie, INSERM</p>
<p>Organisers:</p>
<p> Heudiasyc, CNRS and University of Compiègne joint research unit, France<br />
CNRS, Nord-Pas de Calais & Picardie delegation.</p>
<p>Supported by PASCAL, Heudiasyc, CNRS, UT Compiègne, Picardie, INRIA, GdR BiM, SFdS </p>
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<h2 class="entry-title"><a href="https://k4all.org/2010/03/special-issue-call-for-papers-model-and-optimization-for-machine-learning-deadline-extended/" rel="bookmark">Special Issue Call for Papers: Model and Optimization for Machine Learning -*DEADLINE EXTENDED*</a></h2>
<p>Details of the call can be found at the following link:</p>
<p>http://www.pascal-network.org/cfp/specialissuenov09.pdf</p>
<p>The paper submission deadline has been extended to 28 February 2010</p>
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<h2 class="entry-title"><a href="https://k4all.org/2010/03/second-call-for-papers-mlsp-2010-the-twentieth-ieee-international-workshop-on-machine-learning-for-signal-processing/" rel="bookmark">Second call for papers: MLSP 2010, the Twentieth IEEE International Workshop on Machine Learning for Signal Processing</a></h2>
<p>Second Call for Papers</p>
<p>for the</p>
<p>Twentieth IEEE International Workshop on<br />
Machine Learning for Signal Processing<br />
(MLSP 2010)</p>
<p>August 29 – September 1, 2010, Kittila, Finland</p>
<p>Website: http://mlsp2010.conwiz.dk</p>
<p>IMPORTANT DATES:</p>
<p>Submission of full papers: April 1, 2010<br />
Notification of acceptance: May 28, 2010<br />
Camera-ready paper<br />
and author registration: June 18, 2010<br />
Advance registration before: June 23, 2010</p>
<p>The 2010 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL<br />
PROCESSING (MLSP 2010) will be held in Kittila, Finland, in<br />
August-September 2010. MLSP 2010 is the twentieth workshop in the<br />
series of workshops sponsored by IEEE Signal Processing Society. It<br />
will present the most recent and exciting contributions in machine<br />
learning for signal processing through keynote talks as well as<br />
special and regular single-track sessions.</p>
<p>INVITED SPEAKERS:</p>
<p>– Prof. Zoubin Ghahramani, University of Cambridge<br />
– Prof. Tom Mitchell, Carnegie Mellon University<br />
– Dr. Henry Tirri, Head of Nokia Research Center</p>
<p>ORGANIZATION:</p>
<p>General chair: Erkki Oja<br />
Program chairs: Samuel Kaski, David Miller<br />
Special session chairs: Samy Bengio, Mikko Kurimo<br />
Publicity chairs: Marc Van Hulle, Jaakko Peltonen<br />
Web and publication chairs: Antti Honkela, Jan Larsen<br />
Data competition chairs: Vince Calhoun, Kenneth Hild, Mikko Kurimo<br />
Local arrangements: Tapani Raiko (chair), Francesco Corona,<br />
Ali Faisal, Mari-Sanna Paukkeri</p>
<p>VENUE:</p>
<p>MLSP 2010 will be held in the Levi Summit conference and exhibition<br />
centre in Kittila, Finland. Levi is one of the largest resorts in<br />
Finnish Lapland, north of the Arctic Circle. In the summer, Levi<br />
offers many sports activities as well as lots of wild northern nature.<br />
The conference centre is located high on the hillside of the Levi<br />
fell, accessible by gondola from the main village.</p>
<p>CONFERENCE TOPICS:</p>
<p>Machine learning in signal processing is concerned with tasks such as<br />
detection, estimation, prediction, classification, and optimization,<br />
with a wide range of applications. The following is a non-exhaustive<br />
list of topics for MLSP 2010:</p>
<p>– Bayesian learning and signal processing<br />
– Cognitive information processing<br />
– Graphical and kernel methods<br />
– Information-theoretic learning<br />
– Learning theory and algorithms, including bounds on performance<br />
– Supervised learning, including signal detection, pattern<br />
recognition and classification<br />
– Unsupervised learning, reinforcement learning<br />
– Source separation and component analysis<br />
– Data fusion and integration<br />
– Feature extraction, information visualization<br />
– Sparse and structured representations<br />
– Neural network learning<br />
– Time-series analysis<br />
– Adaptive filtering<br />
– Data mining, information retrieval<br />
– Sequential learning and sequential decision methods<br />
– Hardware implementation of machine learning in signal processing<br />
– Applications of machine learning: Bioinformatics, Biomedical and<br />
neural signal processing, Neuroinformatics, Speech and audio<br />
processing, Image and video processing, Computer vision,<br />
Sensor networks, Robot control, Communications, Cognitive radio,<br />
Multimodal interfaces and context modeling, Intelligent multimedia<br />
and web processing</p>
<p>SPECIAL SESSION:</p>
<p>A special session “Towards multimodal proactive interfaces using<br />
large-scale machine learning” is being organized. For more<br />
information see http://mlsp2010.conwiz.dk .</p>
<p>DATA COMPETITION:</p>
<p>In conjunction with the workshop, a data and signal analysis<br />
competition “Mind Reading” is being organized. Winners will present<br />
their works and receive their award during the Workshop. For more<br />
information see http://mlsp2010.conwiz.dk .</p>
<p>PAPER SUBMISSION PROCEDURE:</p>
<p>Authors are invited to submit a double column paper of up to six pages<br />
using the electronic submission procedure described at<br />
http://mlsp2010.conwiz.dk .</p>
<p>Accepted papers will be published by IEEE Press; electronic<br />
proceedings will be distributed at the workshop and included in<br />
IEEE Xplore.</p>
<p>JOURNAL SPECIAL ISSUE:</p>
<p>Authors of selected papers will be invited to submit extended versions<br />
to a special issue of an international journal.</p>
<p>SPONSORS: MLSP 2010 is supported by IEEE, by the IEEE Signal<br />
Processing Society, by the PASCAL2 Network of Excellence, and by<br />
the Federation of Finnish Learned Societies. The data competition is sponsored by Nokia and the PASCAL2 Challenge Program.</p>
<p>========= See http://mlsp2010.conwiz.dk for more details! ========= </p>
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<p class="datetime">March 11, 2010</p>
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<span class="cat-links">
<a href="https://k4all.org/category/pascal2/" rel="category tag">PASCAL2</a> </span>
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<h2 class="entry-title"><a href="https://k4all.org/2010/03/workshop-on-active-learning-and-experimental-design-collocated-with-aistats/" rel="bookmark">Workshop on Active Learning and Experimental Design (collocated with AISTATS)</a></h2>
<p>Workshop on Active Learning and Experimental Design<br />
—————————————————————————-<br />
Collocated with AISTATS 2010<br />
May 16, 2010<br />
Chia Laguna resort<br />
http://clopinet.com/isabelle/Projects/AISTATS2010/</p>
<p>Abstract submission deadline: March 8, 2010</p>
<p>Guest speakers:<br />
– Donald Rubin, Department of Statistics, Harward University (co-inventor of the EM algorithm, expert in experimental design and causal inference)<br />
– Burr Settles, Machine Learning Department, Carnegie Mellon University (author of an authoritative tutorial on active learning)<br />
– David Jensen, Computer Science Department, Universtity of Massachusetts (expert in quasi-experimental design)</p>
<p>The results of the Active Learning challenge http://clopinet.com/al will be discussed at the workshop and plans will be made for an upcoming challenge on experimental design.</p>
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<p class="datetime">March 11, 2010</p>
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<a href="https://k4all.org/category/pascal2/" rel="category tag">PASCAL2</a> </span>
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<h2 class="entry-title"><a href="https://k4all.org/2010/03/icdl-deadline-extended-9th-international-conference-on-development-and-learning/" rel="bookmark">ICDL (deadline EXTENDED): 9th International Conference on Development and Learning</a></h2>
<p>Submission deadline EXTENDED to March 6</p>
<p>9th International Conference on Development and Learning (ICDL)<br />
University of Michigan, Ann Arbor, MI, USA<br />
http://www.icdl-2010.org<br />
August 18-21, 2010</p>
<p>ICDL is the premiere venue for interdisciplinary research that blends the boundaries between robotics, artificial intelligence, machine learning, developmental psychology, neuroscience, and philosophy. The scope of development and learning covered by this conference includes perceptual, cognitive, motor, behavioral, emotional and other related capabilities that are exhibited by humans, higher animals, artificial systems and robots.</p>
<p>While most other conferences focus on either mechanisms or organisms, ICDL focuses on both! The papers presented at the conference are split approximately 50-50 between the “natural intelligence side,” such as neuroscience and psychology, and the “artificial intelligence side,” such as machine intelligence and robotics. This diversity is mirrored in the composition of the organizing committee and the ICDL governing board. Please join us in 2010 when we celebrate our 10-th anniversary.</p>
<p>Topics of interest include, but are not limited to:</p>
<p>* General principles of development<br />
* Cognitive and perceptual development<br />
* Developmental learning: schedules and architectures<br />
* New methodologies to study natural and artificial intelligence.<br />
* Statistical learning in humans and machines<br />
* Embodied cognition<br />
* Play and exploration in animals, infants and robots<br />
* Interactive learning<br />
* Cultural learning<br />
* Social and emotional development<br />
* Theory of mind<br />
* Language acquisition<br />
* Skill acquisition<br />
* Intrinsic motivation<br />
* Dynamic systems<br />
* Attention mechanisms and their role in development<br />
* Philosophical issues of development and learning<br />
* Differences between learning and development<br />
* Interactions of learning and development with evolution<br />
* Grounding of knowledge and representations<br />
* Studies and models of developmental disorders, e.g., autism<br />
* Using robots to study development and learning<br />
* Human-Robot interaction<br />
* Visual, auditory, and tactile systems and their development<br />
* Motor systems and their development<br />
* Biological and biologically inspired developmental architectures<br />
* Neural plasticity during development.</p>
<p>ICDL 2010 will accept two types of submissions:</p>
<p>1) Full six-page paper submissions. Accepted papers will be included<br />
in the conference proceedings and will be selected for either an oral<br />
presentation or a featured poster presentation. Featured posters<br />
will have a 1 minute “teaser” presentation as part of the main<br />
conference session and will be showcased in the poster sessions.</p>
<p>2) Two-page poster abstract submissions. To encourage late-breaking<br />
results or for work that is not sufficiently mature for a full paper,<br />
ICDL will accept 2-page abstracts. These submissions will NOT be<br />
included in the conference proceedings. Accepted abstracts will be<br />
presented during the evening poster sessions.</p>
<p>Important dates:<br />
** Mar 06, 2010 Full 6-page paper submissions due ** Changed from Feb 20<br />
May 20, 2010 Notification of accept/reject for papers<br />
May 27, 2010 2-page poster abstracts due<br />
June 10, 2010 Notification of accept/reject for abstracts<br />
June 20, 2010 Camera-Ready Copy due<br />
July 20, 2010 Early Registration Deadline<br />
Aug. 18-21, 2010 Conference</p>
<p>General Chairs:<br />
* Benjamin Kuipers, University of Michigan<br />
* Thomas Shultz, McGill University</p>
<p>Program Chairs:<br />
* Alexander Stoytchev, Iowa State University<br />
* Chen Yu, Indiana University, Bloomington</p>
<p>Publicity chairs:<br />
* Ian Fasel, University of Arizona, USA (for North America)<br />
* Jochen Triesch, Frankfurt Institute for Advanced Studies, Germany (for Europe)<br />
* Jun Tani, RIKEN, Japan (for Asia).</p>
<p>Sponsored by:<br />
* IEEE Computational Intelligence Society<br />
* Cognitive Science Society</p>
<p>For more information please check the conference web site:<br />
http://www.icdl-2010.org/</p>
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