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HICSS
2009
IEEE
662views Biometrics» more  HICSS 2009»
14 years 2 months ago
Modeling Collaborative Behavior: Foundations for Collaboration Technologies
Can models of collaboration serve as a foundation for development of collaborative technologies in much the same way that engineers use models when developing complex systems? We ...
Steven E. Poltrock, Mark Handel
ESWA
2008
169views more  ESWA 2008»
13 years 7 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
BMCBI
2007
160views more  BMCBI 2007»
13 years 7 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
TCOM
2008
68views more  TCOM 2008»
13 years 7 months ago
Analysis and design of book-ahead bandwidth-sharing mechanisms
In this article, we present a novel discrete-time Markov chain model of book-ahead bandwidthsharing mechanisms. We use this analytical model and a simulation model to understand t...
Xiangfei Zhu, Malathi Veeraraghavan
NIPS
1998
13 years 9 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch