2440 search results - page 139 / 488 » Abstraction Learning |
128
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ECML
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. We study the problem of learning from positive and unlabeled examples. Although several techniques exist for dealing with this problem, they all assume that positive exam...
170
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ISNN
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
160
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JMLR
2010
14 years 11 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
178
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ESOP
2011
Springer
14 years 8 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
155
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ECAI
2000
Springer
15 years 8 months ago
2000
Springer
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...