5075 search results - page 943 / 1015 » Convergence |
156
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AMAI
2004
Springer
15 years 10 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
132
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ECML
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
135
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ICGI
2004
Springer
15 years 10 months ago
2004
Springer
The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given by a hyp...
146
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IPSN
2004
Springer
15 years 10 months ago
2004
Springer
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
157
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IPSN
2004
Springer
15 years 10 months ago
2004
Springer
Wireless sensor networks are capable of collecting an enormous amount of data over space and time. Often, the ultimate objective is to derive an estimate of a parameter or functio...