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ESANN
2003
14 years 10 days 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...
CAIP
2009
Springer
114views Image Analysis» more  CAIP 2009»
14 years 2 months ago
Decision Trees Using the Minimum Entropy-of-Error Principle
Binary decision trees based on univariate splits have traditionally employed so-called impurity functions as a means of searching for the best node splits. Such functions use estim...
Joaquim Marques de Sá, João Gama, Ra...
ICIP
2009
IEEE
14 years 9 months ago
 Multi-modal Image Registration using Fuzzy Kernel Regression
This paper presents a study aimed to the realization of a novel multiresolution registration framework. The transformation function is computed iteratively as a composition of lo...
R. Gallea, E. Ardizzone, R. Pirrone, O. Gambino
CSDA
2006
83views more  CSDA 2006»
13 years 11 months ago
Linear grouping using orthogonal regression
A new method to detect different linear structures in a data set, called Linear Grouping Algorithm (LGA), is proposed. LGA is useful for investigating potential linear patterns in...
Stefan Van Aelst, Xiaogang Wang, Ruben H. Zamar, R...
AIED
2007
Springer
14 years 5 months ago
Beyond the code-and-count analysis of tutoring dialogues
In this paper, we raise a methodological issue concerning the empirical analysis of tutoring dialogues: The frequencies of tutoring moves do not necessarily reveal their causal ef...
Stellan Ohlsson, Barbara Di Eugenio, Bettina Chow,...