1029 search results - page 110 / 206 » Neural Networks and Complexity Theory |
140
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IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
— This work addresses the problem of selecting a subset of basis functions for a model linear in the parameters for regression tasks. Basis functions from a set of candidates are...
112
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ICANN
2005
Springer
15 years 10 months ago
2005
Springer
Parallel perceptrons (PPs), a novel approach to committee machine training requiring minimal communication between outputs and hidden units, allows the construction of efficient an...
115
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ICANN
2003
Springer
15 years 9 months ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
132
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PPSN
1994
Springer
15 years 8 months ago
1994
Springer
A general model for the coevolution of cooperating species is presented. This model is instantiated and tested in the domain of function optimization, and compared with a tradition...
172
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PODC
2012
ACM
13 years 7 months ago
2012
ACM
Multi-party communication complexity involves distributed computation of a function over inputs held by multiple distributed players. A key focus of distributed computing research...