135 search results - page 16 / 27 » Solving the Ill-Conditioning in Neural Network Learning |
SBRN
2008
IEEE
15 years 7 months ago
2008
IEEE
The automation of the categorization of economic activities from business descriptions in free text format is a huge challenge for the Brazilian governmental administration in the...
106
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CORR
2010
Springer
15 years 1 months ago
2010
Springer
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
122
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IROS
2008
IEEE
15 years 7 months ago
2008
IEEE
— This paper proposes a computational model for phoneme acquisition by infants. Human infants perceive speech sounds not as discrete phoneme sequences but as continuous acoustic ...
GECCO
2010
Springer
15 years 6 months ago
2010
Springer
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
103
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GECCO
2007
Springer
15 years 7 months ago
2007
Springer
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...