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» Facilitating Agent Development in Open Distributed Systems
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88
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ATAL
2007
Springer
15 years 4 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
99
Voted
ATAL
2010
Springer
14 years 11 months ago
Preference elicitation for risky prospects
Minimax-regret preference elicitation allows intelligent decisions to be made on behalf of people facing risky choices. Standard gamble queries, a vital tool in this type of prefe...
Greg Hines, Kate Larson
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
15 years 10 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
75
Voted
HICSS
2006
IEEE
98views Biometrics» more  HICSS 2006»
15 years 4 months ago
Electricity Markets: How Many, Where and When?
Most markets compromise the economist’s ideal of matching the marginal benefits to consumers with the marginal cost of supply for incremental purchases because individual buyers...
Nodir Adilov, Richard E. Schuler
BMCBI
2007
146views more  BMCBI 2007»
14 years 10 months ago
Towards Semantic e-Science for Traditional Chinese Medicine
Background: Recent advances in Web and information technologies with the increasing decentralization of organizational structures have resulted in massive amounts of information r...
Huajun Chen, Yuxin Mao, Xiaoqing Zheng, Meng Cui, ...