of interest to the workshop include (but are not limited to):
Participation in the active
learning competition is not required to
attend the workshop and vice versa.
Competition participants can apply for travel support.
of the special session is to be announced.
Paper submission deadline: 31 January 2010 7 February 2010
Competition final testing period begins: 1 February 2010
Competition ends: 28 February 2010
Notification of acceptance: 15 March
Camera-ready: 02 May 2010
Early registration: 23 May 2010
2009 causality and time series mini-symposium. Featuring a
memorial lecture of Clive Granger by Halbert White.
NIPS 2008 causality workshop: objectives and assessment. The second challenge in causality organized by the causality workbench.
WCCI 2008 causation and prediction challenge. A first activity of the causality workbench.
NIPS 2006 workshop on causality and feature selection. The ancestor of this workshop.
IJCNN 2007 Agnostic learning vs. Prior knowledge challenge. “When everything fails, ask for additional domain knowledge” is the current motto of machine learning. Therefore, assessing the real added value of prior/domain knowledge is a both deep and practical question.The participants competed in two track: the “prior knowledge track” for which they had access to the raw data and information about the data, and the “agnostic learning track” for which they had access to preprocessed data with no knowledge of the identity of the features.
WCCI 2006 performance prediction challenge. “How good are you at predicting how good you are? 145 participants tried to answer that question. Cross-validation came very strong. Can you do better? Measure yourself against the winners by participating to the model selection game.
NIPS 2003 workshop on feature extraction and feature selection challenge. We organized a competition on five data sets in which hundreds of entries were made. The web site of the challenge is still available for post challenge submissions. Measure yourself against the winners! See the book we published with a CD containing the datasets, tutorials, papers on s.o.a. methods.
Pascal challenges: The Pascal network is sponsoring several challenges in Machine learning.
Data mining competitions:
A list of data mining competitions maintained by KDnuggets, including the well known KDD cup.
of data sets for machine learning:
A rather comprehensive list maintained by MLnet.
UCI machine learning repository: A great collection of datasets for machine learning research.
DELVE: A platform
Critical Assessment of Microarray Data Analysis, an annual conference on gene expression microarray data analysis. This conference includes a context with emphasis on gene selection, a special case of feature selection.
International Conference on Document Analysis and Recognition, a bi-annual conference proposing a contest in printed text recognition. Feature extraction/selection is a key component to win such a contest.
Text Retrieval conference, organized every year by NIST. The conference is organized around the result of a competition. Past winners have had to address feature extraction/selection effectively.
In conjunction with the International Conference on Pattern Recognition, ICPR 2004, a face recognition contest is being organized.
An important competition in protein structure prediction called Critical Assessment of
Techniques for Protein Structure Prediction.
José García-Rodríguez (University of Alicante, Spain)
Isabelle Guyon (Clopinet Enterprises, USA)
Anastassia Angelopoulou (University of Westminster, UK)
Vincent Lemaire (Orange, France)
Matthias Adankon (Ecole de technologie supérieure de Montréal, Canada)
Jorge Azorín (University of Alicante, Spain)
Alexis Bondu (EDF, France)
Marc Boullé (Orange, France)
Gavin Cawley (University of East Anglia, UK)
Olivier Chapelle (Yahhoo!, California)
Emilio Corchado (University of Burgos, Spain)
Juan Manuel Corchado (University of Salamanca, Spain)
Gideon Dror (Academic College of Tel-Aviv-Yaffo, Israel)
Emmanuel Faure (Institut des systèmes complexes, Paris, France)
Shaogang Gong (Queen Mary, University of London, UK)
Seiichi Ozawa (Kobe University, Japan)
Alexandra Psarrou (University of Westminster, UK)
Peter Roth (Graz University, Austria)
Asim Roy (Arizona State University, USA)
Amir Reza Saffari Azar (Graz University of Technology)
Fabrizio Smeraldi (Queen Mary, University of London, UK)
Alexander Statnikov (New York University, USA)
aal@ clopinet . com
INNS Special Interest Group
on Autonomous Machine Learning (SIG AML)