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ICML
2008
IEEE
14 years 10 months ago
An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning
We show that linear value-function approximation is equivalent to a form of linear model approximation. We then derive a relationship between the model-approximation error and the...
Ronald Parr, Lihong Li, Gavin Taylor, Christopher ...
ALT
2002
Springer
14 years 7 months ago
Data Mining with Graphical Models
Abstract. The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all ...
Rudolf Kruse, Christian Borgelt
ECTEL
2008
Springer
13 years 11 months ago
e-Learning in Higher Education: Searching for a Model of Curriculum Analysis
The main purpose behind the design of this experience is the idea of obtaining useful information to know how the online courses in our University have been developed, and trying t...
Linda J. Castaneda
ICML
2003
IEEE
14 years 10 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
ACL
2006
13 years 11 months ago
Modelling Lexical Redundancy for Machine Translation
Certain distinctions made in the lexicon of one language may be redundant when translating into another language. We quantify redundancy among source types by the similarity of th...
David Talbot, Miles Osborne