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ATAL
2005
Springer
14 years 1 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
CIKM
2005
Springer
14 years 1 months ago
Query expansion using random walk models
It has long been recognized that capturing term relationships is an important aspect of information retrieval. Even with large amounts of data, we usually only have significant ev...
Kevyn Collins-Thompson, Jamie Callan
CIKM
2005
Springer
14 years 1 months ago
Biasing web search results for topic familiarity
Depending on a web searcher’s familiarity with a query’s target topic, it may be more appropriate to show her introductory or advanced documents. The TREC HARD [1] track defi...
Giridhar Kumaran, Rosie Jones, Omid Madani
JSSPP
2005
Springer
14 years 1 months ago
AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs
Irregular and iterative I/O-intensive jobs need a different approach from parallel job schedulers. The focus in this case is not only the processing requirements anymore: memory, ...
Luís Fabrício Wanderley Góes,...
LCPC
2005
Springer
14 years 1 months ago
Loop Selection for Thread-Level Speculation
Thread-level speculation (TLS) allows potentially dependent threads to speculatively execute in parallel, thus making it easier for the compiler to extract parallel threads. Howeve...
Shengyue Wang, Xiaoru Dai, Kiran Yellajyosula, Ant...
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