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WEBI
2007
Springer
16 years 22 days ago
Growing Hierarchical Self-Organizing Maps for Web Mining
— Many information retrieval and machine learning methods have not evolved in order to be applied to the Web. Two main problems in applying some machine learning techniques for W...
Joseph P. Herbert, Jingtao Yao
GECCO
2004
Springer
142views Optimization» more  GECCO 2004»
16 years 2 hour ago
Improving MACS Thanks to a Comparison with 2TBNs
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuil...
IADIS
2008
15 years 8 months ago
Mentoring The Student In An Affective Way
This paper describes the Mentor Component, which is part of an Affective Educational Module for distance learning. The main purpose of the Affective Module is to motivate the stud...
Makis Leontidis, Alexandra Gasparinatou, Maria Gri...
COLT
2010
Springer
15 years 4 months ago
Robust Selective Sampling from Single and Multiple Teachers
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
Ofer Dekel, Claudio Gentile, Karthik Sridharan
CVPR
2011
IEEE
15 years 2 months ago
Sparse Image Representation with Epitomes
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
Louise Benoit, Julien Mairal, Francis Bach, Jean P...