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204
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ICML
2002
IEEE
16 years 8 months ago
Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
Carlos Guestrin, Relu Patrascu, Dale Schuurmans
226
Voted
SIGSOFT
2008
ACM
16 years 8 months ago
Empirical evidence of the benefits of workspace awareness in software configuration management
In this paper, we present results from our empirical evaluations of a workspace awareness tool that we designed and implemented to augment the functionality of software configurat...
Anita Sarma, David F. Redmiles, André van d...
SIGSOFT
2007
ACM
16 years 8 months ago
Which warnings should I fix first?
Automatic bug-finding tools have a high false positive rate: most warnings do not indicate real bugs. Usually bug-finding tools assign important warnings high priority. However, t...
Sunghun Kim, Michael D. Ernst
ASPLOS
2009
ACM
16 years 8 months ago
Phantom-BTB: a virtualized branch target buffer design
Modern processors use branch target buffers (BTBs) to predict the target address of branches such that they can fetch ahead in the instruction stream increasing concurrency and pe...
Ioana Burcea, Andreas Moshovos
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 7 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
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