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AAAI
2008
14 years 12 days ago
Bounding the False Discovery Rate in Local Bayesian Network Learning
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
Ioannis Tsamardinos, Laura E. Brown
AAAI
2007
14 years 12 days ago
RETALIATE: Learning Winning Policies in First-Person Shooter Games
In this paper we present RETALIATE, an online reinforcement learning algorithm for developing winning policies in team firstperson shooter games. RETALIATE has three crucial chara...
Megan Smith, Stephen Lee-Urban, Hector Muño...
ATAL
2008
Springer
14 years 2 days ago
Incorporating user utility into sponsored-search auctions
We study principled methods for incorporating user utility into the selection of sponsored search ads. We describe variations of the GSP allocation/pricing mechanism that accommod...
Yagil Engel, David Maxwell Chickering
ATAL
2008
Springer
14 years 2 days ago
Modeling and managing collective cognitive convergence
When the same set of people interact frequently with one another, they grow to think more and more along the same lines, a phenomenon we call "collective cognitive convergenc...
H. Van Dyke Parunak, Theodore C. Belding, Rainer H...
AAAI
2004
13 years 11 months ago
Task Allocation via Self-Organizing Swarm Coalitions in Distributed Mobile Sensor Network
This paper presents a task allocation scheme via selforganizing swarm coalitions for distributed mobile sensor network coverage. Our approach uses the concepts of ant behavior to ...
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr...