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184
Voted
ICML
2002
IEEE
16 years 8 months ago
Action Refinement in Reinforcement Learning by Probability Smoothing
In many reinforcement learning applications, the set of possible actions can be partitioned by the programmer into subsets of similar actions. This paper presents a technique for ...
Carles Sierra, Dídac Busquets, Ramon L&oacu...
199
Voted
ICML
1997
IEEE
16 years 8 months ago
Characterizing the generalization performance of model selection strategies
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
Dale Schuurmans, Lyle H. Ungar, Dean P. Foster
166
Voted
ICSE
2009
IEEE-ACM
16 years 8 months ago
The road not taken: Estimating path execution frequency statically
A variety of compilers, static analyses, and testing frameworks rely heavily on path frequency information. Uses for such information range from optimizing transformations to bug ...
Raymond P. L. Buse, Westley Weimer
ICSE
2008
IEEE-ACM
16 years 8 months ago
Calysto: scalable and precise extended static checking
Automatically detecting bugs in programs has been a long-held goal in software engineering. Many techniques exist, trading-off varying levels of automation, thoroughness of covera...
Domagoj Babic, Alan J. Hu
198
Voted
SIGSOFT
2009
ACM
16 years 8 months ago
Refactoring for reentrancy
A program is reentrant if distinct executions of that program on distinct inputs cannot affect each other. Reentrant programs have the desirable property that they can be deployed...
Jan Wloka, Manu Sridharan, Frank Tip
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