3114 search results - page 168 / 623 » Distributed Case-Based Learning |
113
Voted
TSMC
2008
15 years 1 months ago
2008
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
133
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AAAI
2011
14 years 1 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
120
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Codebook-based representations are widely employed in the classification of complex objects such as images and documents. Most previous codebook-based methods construct a single c...
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
MLCW
2005
Springer
15 years 7 months ago
2005
Springer
In this paper we present lessons learned in the Evaluating Predictive Uncertainty Challenge. We describe the methods we used in regression challenges, including our winning method ...