IMPLEMENTING GAUSSIAN PROCESS INFERENCE WITH NEURAL NETWORKS.
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- International Journal of Neural Systems, 2006, v. 16, n. 5, p. 321, doi. 10.1142/S012906570600072X
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- Article
Works matching IS 01290657 AND DT 2006 AND VI 16 AND IP 5
Results: 8
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ON THE UNIVERSAL CLUSTERING UNDER A BROAD CLASS OF LOSS FUNCTIONS.
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- International Journal of Neural Systems, 2006, v. 16, n. 5, p. 329, doi. 10.1142/S0129065706000731
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- Article
3
REGULARIZATION NETWORK-BASED GENE SELECTION FOR MICROARRAY DATA ANALYSIS.
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- International Journal of Neural Systems, 2006, v. 16, n. 5, p. 341, doi. 10.1142/S0129065706000743
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- Publication type:
- Article
4
MIXTURE MODELS FOR DETECTING DIFFERENTIALLY EXPRESSED GENES IN MICROARRAYS.
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- International Journal of Neural Systems, 2006, v. 16, n. 5, p. 353, doi. 10.1142/S0129065706000755
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- Article
5
THE PREDICTION OF BACTERIAL TRANSCRIPTION START SITES USING SVMS.
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- International Journal of Neural Systems, 2006, v. 16, n. 5, p. 363, doi. 10.1142/S0129065706000767
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- Article
6
VALUE AT RISK ESTIMATION USING INDEPENDENT COMPONENT ANALYSIS-GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY (ICA-GARCH) MODELS.
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- International Journal of Neural Systems, 2006, v. 16, n. 5, p. 371, doi. 10.1142/S0129065706000779
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- Article
7
MANIFOLD LEARNING FOR ROBOT NAVIGATION.
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- International Journal of Neural Systems, 2006, v. 16, n. 5, p. 383, doi. 10.1142/S0129065706000780
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- Article
8
INTRODUCTION.
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- International Journal of Neural Systems, 2006, v. 16, n. 5, p. v, doi. 10.1142/S0129065706000792
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- Article