3378 search results - page 388 / 676 » Learning in Friedberg Numberings |
207
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UAI
2001
15 years 8 months ago
2001
We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...
160
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NIPS
2003
15 years 8 months ago
2003
We consider the policy search approach to reinforcement learning. We show that if a “baseline distribution” is given (indicating roughly how often we expect a good policy to v...
169
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AAAI
1990
15 years 8 months ago
1990
In this paper, we address the issue of evaluating decision trees generated from training examples by a learning algorithm. We give a set of performance measures and show how some ...
256
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BMCBI
2010
15 years 7 months ago
2010
Background: Random forest, an ensemble based supervised machine learning algorithm, is used to predict the SCOP structural classification for a target structure, based on the simi...
165
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JBI
2006
15 years 6 months ago
2006
Bioinformatics is a dynamic research area in which a large number of algorithms and programs have been developed rapidly and independently without much consideration so far of the...