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<p class="MsoNormal"
style="margin-bottom: 0.0001pt; line-height: normal;"><span
style="font-size: 12pt; font-family: "Times New Roman","serif";"
lang="EN-US"><o:p> </o:p>(Apologies for multiple
postings) <br>
<br>
BENELEARN 2012 – PMLS 2012 <br>
The 21st annual Machine Learning Conference of Belgium and The
Netherlands <br>
Workshop Predictive Modeling for the Life Sciences<o:p></o:p></span></p>
<p class="MsoNormal"
style="margin-bottom: 0.0001pt; line-height: normal;"><a
href="http://www.benelearn2012.ugent.be"><span
style="font-size: 12pt; font-family: "Times New Roman","serif"; color: blue;"
lang="EN-US">www.benelearn2012.ugent.be</span></a><span
style="font-size: 12pt; font-family: "Times New Roman","serif";"
lang="EN-US"><o:p></o:p></span></p>
<p class="MsoNormal"
style="margin-bottom: 0.0001pt; line-height: normal;"><span
style="font-size: 12pt; font-family: "Times New Roman","serif";"
lang="EN-US">May 24th and 25th, 2012 <br>
Ghent University, Belgium<br>
<br>
<br>
Call for Abstracts and Full Papers <br>
<br>
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. <o:p></o:p></span></p>
<p class="MsoNormal"
style="margin-bottom: 0.0001pt; line-height: normal;"><span
style="font-size: 12pt; font-family: "Times New Roman","serif";"
lang="EN-US"><br>
The 21st edition of the annual Belgian-Dutch Conference on Machine
Learning
(BeneLearn) will be organized in Ghent, in conjunction with a workshop
on Predictive
Modeling in Life Sciences (PMLS). This year we have chosen for a
two-day program
to showcase the use of predictive modeling in the life sciences. This
is in
part motivated by the increasing focus on applicability of scientific
research.
The joint event takes place on the 24th and 25th of May 2012 at the
Faculty of
Bioscience Engineering of Ghent University. It is organized by the
research
unit Knowledge-based Systems (KERMIT).<br>
<br style="">
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<p class="MsoNormal"
style="margin-bottom: 0.0001pt; line-height: normal;"><span
style="font-size: 12pt; font-family: "Times New Roman","serif";"
lang="EN-US">Scope<br>
<br>
We invite the submission of abstracts or full papers on all aspects of
machine
learning and related disciplines, including, but not limited to <o:p></o:p></span></p>
<p class="MsoNormal"
style="margin-bottom: 0.0001pt; line-height: normal;"><span
style="font-size: 12pt; font-family: "Times New Roman","serif";"
lang="EN-US">Kernel Methods <br>
Bayesian Learning<br>
Case-based Learning<br>
Ensemble Methods<br>
Computational Learning Theory <br>
Data Mining <br>
Evolutionary Computation <br>
Hybrid Learning Systems <br>
Graphical Models <br>
Inductive Logic Programming <br>
Knowledge Discovery in Databases <br>
Online Learning <br>
Web/Link Mining<o:p></o:p><br>
Learning in Multi-Agent
Systems <br>
Learning in Dynamic Domains / Data Streams<br>
Multi-Strategy Learning <br>
Neural Networks <br>
Reinforcement Learning <br>
Robot Learning <br>
Feature Selection and Dimensionality Reduction<br>
Scientific Discovery <br>
Multi-task and Transfer Learning<br>
Statistical Learning<br>
Ranking / Preference Learning / Information Retrieval <br>
Computational models of Human Learning <br>
Structured Output Prediction / Learning from Multi-Label Data<br>
Learning for Language and Speech <br>
Image, Video, Audio and Text Analysis<br>
Applications of Machine Learning <br>
Learning and Ubiquitous Computing <br>
<o:p></o:p></span></p>
<p class="MsoNormal"
style="margin-bottom: 0.0001pt; line-height: normal;"><span
style="font-size: 12pt; font-family: "Times New Roman","serif";"
lang="EN-US">In addition to theoretical and
applied work in machine learning in general, we warmly welcome
applications for
the PMLS workshop, in areas such as: <o:p></o:p></span></p>
<p class="MsoNormal"
style="margin-bottom: 0.0001pt; line-height: normal;"><span
style="font-size: 12pt; font-family: "Times New Roman","serif";"
lang="EN-US">Bioinformatics <br>
Medicine / Biomedical Engineering<br>
Systems Biology / Microbiology<br>
Chemometrics / Computational Drug Discovery <br>
Ecology / Environmental Sciences<br>
Agriculture and Soil Management<br>
Food Sciences<br>
Geographical Information Systems <br>
Weather and Climate Forecasting<br>
<br>
<br>
Submission <br>
<br>
One can submit full papers up to 6 pages or one-page abstracts. 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. To attract as many
people
as possible, registration fees will be low and three international
speakers are
invited for a keynote talk. <o:p></o:p></span></p>
<p class="MsoNormal"
style="margin-bottom: 0.0001pt; line-height: normal;"><span
style="font-size: 12pt; font-family: "Times New Roman","serif";"
lang="EN-US"><br>
We consider a single submission procedure for the main conference and
its
satellite workshop. 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 Friday March 2nd, 2012. Notification of
acceptance is on Friday April 6th. Please follow the guidelines that
are
mentioned on our website: <o:p></o:p></span></p>
<p class="MsoNormal"
style="margin-bottom: 0.0001pt; line-height: normal;"><a
href="http://www.benelearn2012.ugent.be/submission.php"><span
style="font-size: 12pt; font-family: "Times New Roman","serif"; color: blue;"
lang="EN-US">http://www.benelearn2012.ugent.be/submission.php</span></a><span
style="font-size: 12pt; font-family: "Times New Roman","serif";"> <span
lang="EN-US"><o:p></o:p></span></span></p>
<p class="MsoNormal"
style="margin-bottom: 0.0001pt; line-height: normal;"><span
style="font-size: 12pt; font-family: "Times New Roman","serif";"
lang="EN-US">During submission authors will
be able to indicate their preference for an oral or a poster
presentation.
Submissions that concern an application in the life sciences will be
considered
for PMLS, all other submissions will be considered for the main
conference day.<br>
<o:p></o:p></span></p>
<p class="MsoNormal"
style="margin-bottom: 0.0001pt; line-height: normal;"><span
style="font-size: 12pt; font-family: "Times New Roman","serif";"
lang="EN-US">Organizing Committee </span><span
style="font-size: 12pt; font-family: "Times New Roman","serif";"><o:p></o:p></span></p>
<p class="MsoNormal"
style="margin-bottom: 0.0001pt; line-height: normal;"><span
style="font-size: 12pt; font-family: "Times New Roman","serif";">Bernard
De
Baets, Michaël Rademaker, Willem Waegeman (UGent)<o:p></o:p></span></p>
<span style="font-size: 12pt; font-family: "Times New Roman","serif";">Bernard
Manderick (VUB)</span>
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