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ICML
2009
IEEE
16 years 21 days ago
Regularization and feature selection in least-squares temporal difference learning
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...
J. Zico Kolter, Andrew Y. Ng
PLDI
2009
ACM
16 years 16 days ago
A decision procedure for subset constraints over regular languages
Reasoning about string variables, in particular program inputs, is an important aspect of many program analyses and testing frameworks. Program inputs invariably arrive as strings...
Pieter Hooimeijer, Westley Weimer
ARTS
1997
Springer
15 years 4 months ago
Regular Processes and Timed Automata
In 10 , an algebra for timed automata has been introduced. In this article, we introduce a syntactic characterisation of nite timed automata in terms of that process algebra. We s...
Pedro R. D'Argenio
DMKD
2003
ACM
96views Data Mining» more  DMKD 2003»
15 years 5 months ago
Using transposition for pattern discovery from microarray data
We analyze expression matrices to identify a priori interesting sets of genes, e.g., genes that are frequently co-regulated. Such matrices provide expression values for given biol...
François Rioult, Jean-François Bouli...
WCRE
2003
IEEE
15 years 5 months ago
RegReg: a Lightweight Generator of Robust Parsers for Irregular Languages
In reverse engineering, parsing may be partially done to extract lightweight source models. Parsing code containing preprocessing directives, syntactical errors and embedded langu...
Mario Latendresse