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» Approximate Learning of Dynamic Models
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ICML
2010
IEEE
15 years 3 months ago
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zi...
ICPPW
2003
IEEE
15 years 7 months ago
Performance Analysis of Approximate String Searching Implementations for Heterogeneous Computing Platform
This paper presents an analytical performance prediction model that can be used to predict the speedup and similar performance metrics of four approximate string searching implemen...
Panagiotis D. Michailidis, Konstantinos G. Margari...
NECO
2006
86views more  NECO 2006»
15 years 1 months ago
Modeling Sensorimotor Learning with Linear Dynamical Systems
Sen Cheng, Philip N. Sabes