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» Boosting Methods for Regression
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ICALT
2005
IEEE
15 years 3 months ago
Predicting Students' Marks in Hellenic Open University
The ability to provide assistance for a student at the appropriate level is invaluable in the learning process. Not only does it aid the student’s learning process but also prev...
Sotiris B. Kotsiantis, Panayiotis E. Pintelas
CSSC
2008
77views more  CSSC 2008»
14 years 10 months ago
Undercoverage of Wavelet-Based Resampling Confidence Intervals
The decorrelating property of the discrete wavelet transformation (DWT) appears valuable because one can avoid estimating the correlation structure in the original data space by b...
Liansheng Tang, Wayne A. Woodward, William R. Schu...
JMLR
2010
191views more  JMLR 2010»
14 years 5 months ago
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Michael Gutmann, Aapo Hyvärinen
ICML
2009
IEEE
15 years 11 months ago
Compositional noisy-logical learning
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
Alan L. Yuille, Songfeng Zheng
89
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ACIVS
2009
Springer
15 years 4 months ago
Multiple Human Tracking in High-Density Crowds
Abstract. In this paper, we present a fully automatic approach to multiple human detection and tracking in high density crowds in the presence of extreme occlusion. Human detection...
Irshad Ali, Matthew N. Dailey