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» Boosting Methods for Regression
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ICASSP
2011
IEEE
13 years 1 months ago
A basis method for robust estimation of constrained MLLR
Constrained Maximum Likelihood Linear Regression (CMLLR) is a widely used speaker adaptation technique in which an affine transform of the features is estimated for each speaker....
Daniel Povey, Kaisheng Yao
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 4 months ago
Prediction of Skin Penetration Using Machine Learning Methods
Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug deliv...
Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams...
ROCAI
2004
Springer
14 years 3 months ago
An Empirical Evaluation of Supervised Learning for ROC Area
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
Rich Caruana, Alexandru Niculescu-Mizil
SIGMOD
2005
ACM
155views Database» more  SIGMOD 2005»
14 years 10 months ago
On Boosting Holism in XML Twig Pattern Matching using Structural Indexing Techniques
Searching for all occurrences of a twig pattern in an XML document is an important operation in XML query processing. Recently a holistic method TwigStack [2] has been proposed. T...
Ting Chen, Jiaheng Lu, Tok Wang Ling
CIKM
2009
Springer
14 years 4 months ago
Using opinion-based features to boost sentence retrieval
Opinion mining has become recently a major research topic. A wide range of techniques have been proposed to enable opinion-oriented information seeking systems. However, little is...
Ronald T. Fernández, David E. Losada