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» Recognizing Seki in Computer Go
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ACG
2006
Springer
13 years 11 months ago
Recognizing Seki in Computer Go
Seki is a situation of coexistence in the game of Go, where neither player can profitably capture the opponent’s stones. This paper presents a new method for deciding whether an...
Xiaozhen Niu, Akihiro Kishimoto, Martin Mülle...
HUC
2005
Springer
13 years 10 months ago
Learning and Recognizing the Places We Go
Location-enhanced mobile devices are becoming common, but applications built for these devices find themselves suffering a mismatch between the latitude and longitude that locati...
Jeffrey Hightower, Sunny Consolvo, Anthony LaMarca...
CG
2010
Springer
13 years 3 months ago
Score Bounded Monte-Carlo Tree Search
Monte-Carlo Tree Search (MCTS) is a successful algorithm used in many state of the art game engines. We propose to improve a MCTS solver when a game has more than two outcomes. It ...
Tristan Cazenave, Abdallah Saffidine
BMCBI
2008
102views more  BMCBI 2008»
13 years 5 months ago
Monitoring the evolutionary aspect of the Gene Ontology to enhance predictability and usability
Background: Much effort is currently made to develop the Gene Ontology (GO). Due to the dynamic nature of information it addresses, GO undergoes constant updates whose results are...
Jong C. Park, Tak-eun Kim, Jinah Park
TABLETOP
2007
IEEE
13 years 11 months ago
Going Deeper: a Taxonomy of 3D on the Tabletop
Extending the tabletop to the third dimension has the potential to improve the quality of applications involving 3D data and tasks. Recognizing this, a number of researchers have ...
Tovi Grossman, Daniel Wigdor