2750 search results - page 286 / 550 » The complexity of learning SUBSEQ(A) |
169
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ICTAI
2006
IEEE
16 years 19 days ago
2006
IEEE
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...
148
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ICANN
2005
Springer
16 years 4 days ago
2005
Springer
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...
170
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ECML
2004
Springer
16 years 6 hour ago
2004
Springer
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...
164
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MICAI
2004
Springer
15 years 12 months ago
2004
Springer
A number of problems in computer science can be solved efficiently with the so called memory based or kernel methods. Among this problems (relevant to the AI community) are multime...
174
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GECCO
2003
Springer
15 years 11 months ago
2003
Springer
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...