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JMLR
2006
140views more  JMLR 2006»
13 years 6 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
PAMI
2008
134views more  PAMI 2008»
13 years 6 months ago
Bittracker - A Bitmap Tracker for Visual Tracking under Very General Conditions
This paper addresses the problem of visual tracking under very general conditions: a possibly nonrigid target whose appearance may drastically change over time, general camera moti...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
CSDA
2006
81views more  CSDA 2006»
13 years 6 months ago
A recursive approach to detect multivariable conditional variance components and conditional random effects
A complex trait like crop yield is determined by its component traits. Multivariable conditional analysis in a general mixed linear model is helpful in dissecting the gene express...
Jixiang Wu, Dongfeng Wu, Johnie N. Jenkins Jr., Ja...
EOR
2007
111views more  EOR 2007»
13 years 6 months ago
Linear programming based algorithms for preemptive and non-preemptive RCPSP
: In this paper, the RCPSP (Resource Constrained Project Scheduling Problem) is solved using a linear programming model. Each activity may or may not be preemptive. Each variable i...
Jean Damay, Alain Quilliot, Eric Sanlaville
ICANN
2001
Springer
13 years 10 months ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc