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» Machine Learning by Function Decomposition
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ICML
2004
IEEE
15 years 2 months ago
Bias and variance in value function estimation
Shie Mannor, Duncan Simester, Peng Sun, John N. Ts...
72
Voted
COLT
1994
Springer
15 years 1 months ago
Fat-Shattering and the Learnability of Real-Valued Functions
Peter L. Bartlett, Philip M. Long, Robert C. Willi...
88
Voted
AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
15 years 1 months ago
On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
Tatjana Eitrich, Bruno Lang
GPEM
2008
128views more  GPEM 2008»
14 years 9 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood
98
Voted
ICML
2006
IEEE
15 years 10 months ago
Fast direct policy evaluation using multiscale analysis of Markov diffusion processes
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
Mauro Maggioni, Sridhar Mahadevan