Benelearn 2013 - 22nd Belgian-Dutch Conference on Machine Learning
Date2013-06-03
Deadline2013-03-12
VenueNijmegen, Netherlands, The
Keywords
Websitehttps://benelearn2013.org
Topics/Call fo Papers
Benelearn 2013
22nd Belgian-Dutch Conference on Machine Learning
http://benelearn2013.org
Nijmegen, Netherlands, June 3, 2013
==================================
Important dates:
12 March 2013 ? paper submission deadline
16 April 2013 ? notification of acceptance
3 June 2013 ? conference
==================================
BENELEARN is the annual machine learning conference of Belgium and The Netherlands. It serves as a forum for researchers to exchange ideas, present recent work, and foster collaboration in the broad field of Machine Learning and its applications.
The 22nd edition of the annual Belgian-Dutch Conference on Machine Learning (BENELEARN) will be organized in Nijmegen, the Netherlands.
Scope
We invite the submission of abstracts or full papers on all aspects of machine learning and related disciplines, including, but not limited to
Kernel Methods
Bayesian Learning
Case-based Learning
Causal Learning
Ensemble Methods
Computational Learning Theory
Data Mining
Evolutionary Computation
Hybrid Learning Systems
Inductive Logic Programming
Knowledge Discovery in Databases
Online Learning
Learning in Multi-Agent Systems
Neural Networks
Reinforcement Learning
Robot Learning
Feature Selection and Dimensionality Reduction
Scientific Discovery
Transfer Learning
Statistical Learning
Ranking / Preference Learning / Information Retrieval
Computational models of Human Learning
Structured Output Learning
Learning for Language and Speech
Media Mining and Text Analytics
Learning and Ubiquitous Computing
Applications of Machine Learning
Submission
One can submit full papers up to 8 pages (excluding references) or one-page abstracts (including references). Full papers need to report original, unpublished work and they are meant for researchers that prefer to obtain an official publication via BENELEARN, including feedback from the program committee. Abstracts can also concern work in progress and past published work, if the precise references to the original publication are mentioned. This way we aim to provide the same broad overview as in previous years, and make it attractive and easy to attend by both senior as well as junior researchers, from both academia and industry.
The program committee will make a selection for oral presentations among abstracts and full papers to ensure a program that has academic quality but is also interesting and inspiring for the attendees. The remainder of the submissions will be presented during a poster session and poster spotlight presentations. Abstracts and papers should be submitted electronically, no later than Tuesday March 12, 2013. Please follow the guidelines that will be added to this page. During submission authors will be able to indicate their preference for an oral or a poster presentation.
Antal van den Bosch, David van Leeuwen and Tom Heskes
on behalf of the BENELEARN 2013 team
22nd Belgian-Dutch Conference on Machine Learning
http://benelearn2013.org
Nijmegen, Netherlands, June 3, 2013
==================================
Important dates:
12 March 2013 ? paper submission deadline
16 April 2013 ? notification of acceptance
3 June 2013 ? conference
==================================
BENELEARN is the annual machine learning conference of Belgium and The Netherlands. It serves as a forum for researchers to exchange ideas, present recent work, and foster collaboration in the broad field of Machine Learning and its applications.
The 22nd edition of the annual Belgian-Dutch Conference on Machine Learning (BENELEARN) will be organized in Nijmegen, the Netherlands.
Scope
We invite the submission of abstracts or full papers on all aspects of machine learning and related disciplines, including, but not limited to
Kernel Methods
Bayesian Learning
Case-based Learning
Causal Learning
Ensemble Methods
Computational Learning Theory
Data Mining
Evolutionary Computation
Hybrid Learning Systems
Inductive Logic Programming
Knowledge Discovery in Databases
Online Learning
Learning in Multi-Agent Systems
Neural Networks
Reinforcement Learning
Robot Learning
Feature Selection and Dimensionality Reduction
Scientific Discovery
Transfer Learning
Statistical Learning
Ranking / Preference Learning / Information Retrieval
Computational models of Human Learning
Structured Output Learning
Learning for Language and Speech
Media Mining and Text Analytics
Learning and Ubiquitous Computing
Applications of Machine Learning
Submission
One can submit full papers up to 8 pages (excluding references) or one-page abstracts (including references). Full papers need to report original, unpublished work and they are meant for researchers that prefer to obtain an official publication via BENELEARN, including feedback from the program committee. Abstracts can also concern work in progress and past published work, if the precise references to the original publication are mentioned. This way we aim to provide the same broad overview as in previous years, and make it attractive and easy to attend by both senior as well as junior researchers, from both academia and industry.
The program committee will make a selection for oral presentations among abstracts and full papers to ensure a program that has academic quality but is also interesting and inspiring for the attendees. The remainder of the submissions will be presented during a poster session and poster spotlight presentations. Abstracts and papers should be submitted electronically, no later than Tuesday March 12, 2013. Please follow the guidelines that will be added to this page. During submission authors will be able to indicate their preference for an oral or a poster presentation.
Antal van den Bosch, David van Leeuwen and Tom Heskes
on behalf of the BENELEARN 2013 team
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Last modified: 2013-02-04 22:44:22