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COLT
2003
Springer
15 years 9 months ago
Preference Elicitation and Query Learning
Abstract. In this paper we initiate an exploration of relationships between “preference elicitation”, a learning-style problem that arises in combinatorial auctions, and the pr...
Avrim Blum, Jeffrey C. Jackson, Tuomas Sandholm, M...
JMLR
2010
82views more  JMLR 2010»
14 years 11 months ago
On Spectral Learning
In this paper, we study the problem of learning a matrix W from a set of linear measurements. Our formulation consists in solving an optimization problem which involves regulariza...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
MST
2000
86views more  MST 2000»
15 years 4 months ago
Team Learning of Computable Languages
A team of learning machines is a multiset of learning machines. A team is said to successfully learn a concept just in case each member of some nonempty subset, of predetermined s...
Sanjay Jain, Arun Sharma
ICML
2002
IEEE
16 years 5 months ago
IEMS - The Intelligent Email Sorter
Classification of email is an important everyday task for a large and growing number of users. This paper describes the machine learning approaches underlying the i-ems (Intellige...
Elisabeth Crawford, Judy Kay, Eric McCreath
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 8 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro