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ESANN
2003
13 years 8 months ago
Kernel PLS variants for regression
Abstract. We focus on covariance criteria for finding a suitable subspace for regression in a reproducing kernel Hilbert space: kernel principal component analysis, kernel partial...
Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewall...
JMLR
2010
149views more  JMLR 2010»
13 years 1 months ago
Assessment of Cow's Body Condition Score Through Statistical Shape Analysis and Regression Machines
This study explores the feasibility of estimating the Body Condition Score (BCS) of cows from digital images by employing statistical shape analysis and regression machines. The s...
Sebastiano Battiato, Giovanni Maria Farinella, Giu...
AAAI
2011
12 years 7 months ago
Trajectory Regression on Road Networks
This paper addresses the task of trajectory cost prediction, a new learning task for trajectories. The goal of this task is to predict the cost for an arbitrary (possibly unknown)...
Tsuyoshi Idé, Masashi Sugiyama
JMLR
2010
143views more  JMLR 2010»
13 years 1 months ago
Regularized Discriminant Analysis, Ridge Regression and Beyond
Fisher linear discriminant analysis (FDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classific...
Zhihua Zhang, Guang Dai, Congfu Xu, Michael I. Jor...
UAI
2004
13 years 8 months ago
On-line Prediction with Kernels and the Complexity Approximation Principle
The paper describes an application of Aggregating Algorithm to the problem of regression. It generalizes earlier results concerned with plain linear regression to kernel technique...
Alexander Gammerman, Yuri Kalnishkan, Vladimir Vov...