869 search results - page 19 / 174 » An Effective Learning Method for Max-Min Neural Networks |
140
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MLDM
2001
Springer
15 years 10 months ago
2001
Springer
Abstract. This paper proposes a general local learning framework to effectively alleviate the complexities of classifier design by means of “divide and conquer” principle and ...
208
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IJNSEC
2010
15 years 1 months ago
2010
In this paper we present an intrusion detection engine comprised of two main elements; firstly, a neural network for the actual detection task and secondly watermarking techniques...
170
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
164
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ISDA
2006
IEEE
16 years 5 days ago
2006
IEEE
The use of monolithic neural networks (such as a multilayer perceptron) has some drawbacks: e.g. slow learning, weight coupling, the black box effect. These can be alleviated by t...
171
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ACL
2004
15 years 7 months ago
2004
Discriminative methods have shown significant improvements over traditional generative methods in many machine learning applications, but there has been difficulty in extending th...