3381 search results - page 198 / 677 » LEO - DB2's LEarning Optimizer |
140
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ML
2006
ACM
15 years 4 months ago
2006
ACM
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
131
Voted
IJON
2007
15 years 4 months ago
2007
It has been unclear whether optimal experimental design accounts of data selection may offer insight into evidence acquisition tasks in which the learner’s beliefs change greatl...
134
Voted
SGAI
2009
Springer
15 years 9 months ago
2009
Springer
PSO is a population-based technique for optimization, which simulates the social behavior of the fish schooling or bird flocking. Two significant weaknesses of this method are: fir...
177
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KDD
2010
ACM
15 years 8 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
131
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GECCO
2006
Springer
15 years 8 months ago
2006
Springer
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...