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WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
14 years 2 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
CG
2006
Springer
13 years 7 months ago
Feature Construction for Reinforcement Learning in Hearts
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
Nathan R. Sturtevant, Adam M. White
ACL
2011
12 years 9 months ago
Learning to Win by Reading Manuals in a Monte-Carlo Framework
This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal i...
S. R. K. Branavan, David Silver, Regina Barzilay
CIG
2005
IEEE
13 years 11 months ago
Combining Tactical Search and Monte-Carlo in the Game of Go
We present a way to integrate search and Monte-Carlo methods in the game of Go. Our program uses search to find the status of tactical goals, builds groups, selects interesting go...
Tristan Cazenave, Bernard Helmstetter
IRI
2007
IEEE
13 years 11 months ago
Acronym-Expansion Recognition and Ranking on the Web
The paper presents a study on large-scale automatic extraction of acronyms and associated expansions from Web data and from the user interactions with this data through Web search...
Alpa Jain, Silviu Cucerzan, Saliha Azzam