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ICML
2010
IEEE
15 years 6 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
JSSPP
2004
Springer
15 years 10 months ago
Parallel Computer Workload Modeling with Markov Chains
Abstract. In order to evaluate different scheduling strategies for parallel computers, simulations are often executed. As the scheduling quality highly depends on the workload tha...
Baiyi Song, Carsten Ernemann, Ramin Yahyapour
WSC
2007
15 years 7 months ago
Improved simple simulation models for semiconductor wafer factories
Semiconductor wafer fabrication facilities (wafer fabs) are among the most complex production facilities. A large product variety, hundreds of processing steps per product, hundre...
Oliver Rose
ACL
2012
13 years 7 months ago
Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining
Long-span features, such as syntax, can improve language models for tasks such as speech recognition and machine translation. However, these language models can be difficult to u...
Ariya Rastrow, Mark Dredze, Sanjeev Khudanpur
ISSRE
2002
IEEE
15 years 10 months ago
Saturation Effects in Testing of Formal Models
Formal analysis of software is a powerful analysis tool, but can be too costly. Random search of formal models can reduce that cost, but is theoretically incomplete. However, rand...
Tim Menzies, David Owen, Bojan Cukic