762 search results - page 74 / 153 » Constructive Neural Network Learning Algorithms |
124
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
Connectivity patterns in biological brains exhibit many repeating motifs. This repetition mirrors inherent geometric regularities in the physical world. For example, stimuli that ...
187
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
118
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CANDC
2002
ACM
15 years 2 months ago
2002
ACM
We show that the support vector machine (SVM) classification algorithm, a recent development from the machine learning community, proves its potential for structure
110
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FOCI
2007
IEEE
15 years 8 months ago
2007
IEEE
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
157
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CASES
2006
ACM
15 years 8 months ago
2006
ACM
Developing an optimizing compiler for a newly proposed architecture is extremely difficult when there is only a simulator of the machine available. Designing such a compiler requ...