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» Machine Learning by Function Decomposition
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ICML
2004
IEEE
15 years 5 months ago
Bias and variance in value function estimation
Shie Mannor, Duncan Simester, Peng Sun, John N. Ts...
COLT
1994
Springer
15 years 3 months ago
Fat-Shattering and the Learnability of Real-Valued Functions
Peter L. Bartlett, Philip M. Long, Robert C. Willi...
AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
15 years 3 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 11 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
ICML
2006
IEEE
16 years 15 days 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