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ICDE
2009
IEEE
140views Database» more  ICDE 2009»
16 years 4 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...
137
Voted
FLAIRS
2003
15 years 4 months ago
Learning Opening Strategy in the Game of Go
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
Timothy Huang, Graeme Connell, Bryan McQuade
164
Voted
ESANN
2008
15 years 4 months ago
Learning to play Tetris applying reinforcement learning methods
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Alexander Groß, Jan Friedland, Friedhelm Sch...
AAAI
2007
15 years 5 months ago
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
Bobby D. Bryant, Risto Miikkulainen
AUSAI
2006
Springer
15 years 6 months ago
Unsupervised Measurement of Translation Quality Using Multi-engine, Bi-directional Translation
Abstract. Lay people discussing machine translation systems often perform a round trip translation, that is translating a text into a foreign language and back, to measure the qual...
Menno van Zaanen, Simon Zwarts