1393 search results - page 193 / 279 » Machine Learning by Function Decomposition |
133
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ESSMAC
2003
Springer
15 years 6 months ago
2003
Springer
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
128
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SG
2010
Springer
15 years 6 months ago
2010
Springer
While many visualization tools exist that offer sophisticated functions for charting complex data, they still expect users to possess a high degree of expertise in wielding the to...
119
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ICMLA
2008
15 years 3 months ago
2008
Standard Machine Learning approaches to text classification use the bag-of-words representation of documents to deceive the classification target function. Typical linguistic stru...
113
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ICASSP
2010
IEEE
15 years 1 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
118
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BMCBI
2006
15 years 1 months ago
2006
Background: There has been an explosion in the number of single nucleotide polymorphisms (SNPs) within public databases. In this study we focused on non-synonymous protein coding ...