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» Boosting Methods for Regression
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ICML
2007
IEEE
14 years 10 months ago
An integrated approach to feature invention and model construction for drug activity prediction
We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
David Page, Jesse Davis, Soumya Ray, Vítor ...
ICIP
2009
IEEE
14 years 11 months ago
Age Regression From Faces Using Random Forests
Predicting the age of a person through face image analysis holds the potential to drive an extensive array of real world applications from human computer interaction and security ...
MICCAI
2006
Springer
14 years 10 months ago
Boosting and Nonparametric Based Tracking of Tagged MRI Cardiac Boundaries
Abstract. In this paper we present an accurate cardiac boundary tracking method for 2D tagged MRI time sequences. This method naturally integrates the motion and the static local a...
Zhen Qian, Dimitris N. Metaxas, Leon Axel
IJCNN
2006
IEEE
14 years 3 months ago
Common Subset Selection of Inputs in Multiresponse Regression
— We propose the Multiresponse Sparse Regression algorithm, an input selection method for the purpose of estimating several response variables. It is a forward selection procedur...
Timo Similä, Jarkko Tikka
IJCNLP
2005
Springer
14 years 3 months ago
PP-Attachment Disambiguation Boosted by a Gigantic Volume of Unambiguous Examples
We present a PP-attachment disambiguation method based on a gigantic volume of unambiguous examples extracted from raw corpus. The unambiguous examples are utilized to acquire prec...
Daisuke Kawahara, Sadao Kurohashi