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JMLR
2012
11 years 11 months ago
Adaptive MCMC with Bayesian Optimization
This paper proposes a new randomized strategy for adaptive MCMC using Bayesian optimization. This approach applies to nondifferentiable objective functions and trades off explor...
Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando d...
WCRE
2000
IEEE
14 years 1 months ago
Revisiting the Delta IC Approach to Component Recovery
Component recovery supports program understanding, architecture recovery, and re-use. Among the best known techniques for detection of re-usable objects (related global variables ...
Gerardo Canfora, Jörg Czeranski, Rainer Kosch...
IDA
2009
Springer
14 years 3 months ago
Selecting Computer Architectures by Means of Control-Flow-Graph Mining
Abstract Deciding which computer architecture provides the best performance for a certain program is an important problem in hardware design and benchmarking. While previous approa...
Frank Eichinger, Klemens Böhm
IJCAI
2007
13 years 10 months ago
A Factor Graph Model for Software Bug Finding
Automatic tools for finding software errors require knowledge of the rules a program must obey, or “specifications,” before they can identify bugs. We present a method that ...
Ted Kremenek, Andrew Y. Ng, Dawson R. Engler
IJCAI
2007
13 years 10 months ago
Reinforcement Learning of Local Shape in the Game of Go
We explore an application to the game of Go of a reinforcement learning approach based on a linear evaluation function and large numbers of binary features. This strategy has prov...
David Silver, Richard S. Sutton, Martin Mülle...