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136
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ECML
2004
Springer
15 years 9 months ago
Experiments in Value Function Approximation with Sparse Support Vector Regression
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
Tobias Jung, Thomas Uthmann
135
Voted
ISWC
2003
IEEE
15 years 9 months ago
Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing
Context-aware computing describes the situation where a wearable / mobile computer is aware of its user’s state and surroundings and modifies its behavior based on this informat...
Andreas Krause, Daniel P. Siewiorek, Asim Smailagi...
152
Voted
CP
2000
Springer
15 years 8 months ago
Constraint-Based Agents: The ABC's of CBA's
The Constraint-Based Agent (CBA) framework is a set of tools for designing, simulating, building, verifying, optimizing, learning and debugging controllers for agents embedded in a...
Alan K. Mackworth
147
Voted
CIA
1998
Springer
15 years 8 months ago
Cooperative vs. Competitive Multi-Agent Negotiations in Retail Electronic Commerce
A key lesson learned from economic and game theory research is that negotiation protocols have substantial, rippling effects on the overall nature of the system. online auctions a...
Robert H. Guttman, Pattie Maes
114
Voted
AAAI
2008
15 years 6 months ago
Latent Tree Models and Approximate Inference in Bayesian Networks
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
Yi Wang, Nevin Lianwen Zhang, Tao Chen