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ICML
2008
IEEE
16 years 1 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 ...
104
Voted
JFLP
2002
101views more  JFLP 2002»
15 years 9 days ago
Complete Selection Functions for a Lazy Conditional Narrowing Calculus
In this paper we extend the lazy narrowing calculus lnc of Middeldorp, Okui, and Ida [26] to conditional rewrite systems. The resulting lazy conditional narrowing calculus lcnc is...
Aart Middeldorp, Taro Suzuki, Mohamed Hamada
121
Voted
IJCNN
2008
IEEE
15 years 7 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...
112
Voted
ECML
2006
Springer
15 years 4 months ago
Transductive Gaussian Process Regression with Automatic Model Selection
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Quoc V. Le, Alexander J. Smola, Thomas Gärtne...
93
Voted
ETS
2002
IEEE
155views Hardware» more  ETS 2002»
15 years 14 days ago
The experience of practitioners with technology-enhanced teaching and learning
This paper describes a research project, which seeks to showcase the experience base of practitioners with technology-enhanced teaching and learning. A particular focus of this in...
Som Naidu, David Cunnington, Carol Jasen