2166 search results - page 12 / 434 » Support Vector Regression Machines |
127
Voted
CVPR
2010
IEEE
15 years 19 days ago
2010
IEEE
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
71
Voted
ICMLA
2007
15 years 1 months ago
2007
In this paper, we apply weighted ridge regression to tackle the highly unbalanced data issue in automatic largescale ICD-9 coding of medical patient records. Since most of the ICD...
111
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KDD
2006
ACM
16 years 25 days ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
132
Voted
SEAL
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
IJCNLP
2005
Springer
15 years 6 months ago
2005
Springer
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target object using not binary polarity (good or bad) b...