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IJCAI
2001
15 years 8 months ago
Reinforcement Learning in Distributed Domains: Beyond Team Games
Using a distributed algorithm rather than a centralized one can be extremely beneficial in large search problems. In addition, the incorporation of machine learning techniques lik...
David Wolpert, Joseph Sill, Kagan Tumer
CHI
1994
ACM
15 years 11 months ago
What HCI designers can learn from video game designers
Computer users have tasks they need to perform, and are therefore motivated to overcome poorly designed interfaces. With video games, there is no external motivation for the task ...
Randy Pausch, Rich Gold, Tim Skelly, David Thiel
BMCBI
2010
176views more  BMCBI 2010»
15 years 7 months ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...
PVLDB
2008
131views more  PVLDB 2008»
15 years 6 months ago
Learning to create data-integrating queries
The number of potentially-related data resources available for querying -- databases, data warehouses, virtual integrated schemas -continues to grow rapidly. Perhaps no area has s...
Partha Pratim Talukdar, Marie Jacob, Muhammad Salm...
EDUTAINMENT
2006
Springer
15 years 10 months ago
Haptic Puppetry for Interactive Games
In interactive computer games and computer animation, intuitively controlling the motion of an articulated character is considered as a difficult task. One of the reasons is that, ...
Sujeong Kim, Xinyu Zhang, Young J. Kim