1029 search results - page 57 / 206 » Neural Networks and Complexity Theory |
GECCO
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
INFOCOM
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract— We consider the computational complexity and algorithm challenges in designing survivable access networks. With limited routing capability, the structure of an access n...
109
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ENGL
2007
14 years 11 months ago
2007
—This paper presents methodologies to select equities based on soft-computing models which focus on applying fundamental analysis for equities screening. This paper compares the ...
117
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ICML
1995
IEEE
16 years 20 days ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
102
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BIODATAMINING
2008
14 years 12 months ago
2008
During the past two decades, the field of human genetics has experienced an information explosion. The completion of the human genome project and the development of high throughpu...