374 search results - page 55 / 75 » Training the random neural network using quasi-Newton method... |
89
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KDD
2004
ACM
16 years 4 days ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
ICANN
2010
Springer
15 years 25 days ago
2010
Springer
Structural equation models have been widely used to study causal relationships between continuous variables. Recently, a non-Gaussian method called LiNGAM was proposed to discover ...
100
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CIDM
2009
IEEE
15 years 6 months ago
2009
IEEE
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
PAMI
2008
14 years 11 months ago
2008
This study investigates Bayes classification of online Arabic characters using histograms of tangent differences and Gibbs modeling of the class-conditional probability density fun...
117
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MLDM
2007
Springer
15 years 5 months ago
2007
Springer
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...