3051 search results - page 338 / 611 » Learning Internal Representations |
138
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IDEAL
2005
Springer
15 years 10 months ago
2005
Springer
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...
132
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GECCO
2004
Springer
15 years 10 months ago
2004
Springer
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
151
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ECAI
2000
Springer
15 years 9 months ago
2000
Springer
This position paper presents an algorithm, which determines similarities between text documents. These text documents are indexed with keywords and further background knowledge-ter...
139
Voted
ICCV
1999
IEEE
15 years 9 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
140
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EP
1998
Springer
15 years 9 months ago
1998
Springer
This paper deals with the representation of document models used in the field of document recognition. A novel formalism called generalized n-gram is presented, which is shown to b...