206 search results - page 8 / 42 » Boosting Kernel Models for Regression |
NAACL
2007
14 years 11 months ago
2007
We present a novel machine translation framework based on kernel regression techniques. In our model, the translation task is viewed as a string-to-string mapping, for which a reg...
107
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BMCBI
2008
14 years 10 months ago
2008
Background: Growing interest on biological pathways has called for new statistical methods for modeling and testing a genetic pathway effect on a health outcome. The fact that gen...
NIPS
2003
14 years 11 months ago
2003
We propose a method for sequential Bayesian kernel regression. As is the case for the popular Relevance Vector Machine (RVM) [10, 11], the method automatically identifies the num...
108
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ICIC
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward constrained regression manner. The...
TSMC
2010
14 years 4 months ago
2010
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...