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ICMLC
2010
Springer
15 years 3 months ago
Optimization of bagging classifiers based on SBCB algorithm
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
Xiao-Dong Zeng, Sam Chao, Fai Wong
EDUTAINMENT
2007
Springer
15 years 11 months ago
Visualization Learning for Visually Impaired People
Virtual Environments (VE) are mainly visual experiments that exclude visually impaired people. In this paper we present an application that should allow almost everybody to “seeâ...
Patrick Salamin, Daniel Thalmann, Fréd&eacu...
MANSCI
2006
180views more  MANSCI 2006»
15 years 5 months ago
Selectively Acquiring Customer Information: A New Data Acquisition Problem and an Active Learning-Based Solution
This paper presents a new information acquisition problem motivated by business applications where customer data has to be acquired with a specific modeling objective in mind. In ...
Zhiqiang Zheng, Balaji Padmanabhan
ICML
2007
IEEE
16 years 6 months ago
Trust region Newton methods for large-scale logistic regression
Large-scale logistic regression arises in many applications such as document classification and natural language processing. In this paper, we apply a trust region Newton method t...
Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi
ICML
2007
IEEE
16 years 6 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore