2464 search results - page 192 / 493 » Efficient learning equilibrium |
158
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
196
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
158
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WSC
2008
15 years 8 months ago
2008
We present a Generalized Lotka-Volterra (GLV) based approach for modeling and simulation of supervised inductive learning, and construction of an efficient classification algorith...
149
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AIPS
1994
15 years 7 months ago
1994
Generating production-quality plans is an essential element in transforming planners from research tools into real-world applications. However most of the work to date on learning...
170
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each binary unit by an infinite number of copies that all ...