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CSDA
2006
304views more  CSDA 2006»
14 years 10 months ago
Using principal components for estimating logistic regression with high-dimensional multicollinear data
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
Ana M. Aguilera, Manuel Escabias, Mariano J. Valde...
CVPR
2012
IEEE
13 years 10 days ago
Multi-view latent variable discriminative models for action recognition
Many human action recognition tasks involve data that can be factorized into multiple views such as body postures and hand shapes. These views often interact with each other over ...
Yale Song, Louis-Philippe Morency, Randall Davis
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
15 years 4 months ago
Predicting Future Decision Trees from Evolving Data
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
Mirko Böttcher, Martin Spott, Rudolf Kruse
TRUSTBUS
2004
Springer
15 years 3 months ago
Privacy Preserving Data Generation for Database Application Performance Testing
Abstract. Synthetic data plays an important role in software testing. In this paper, we initiate the study of synthetic data generation models for the purpose of application softwa...
Yongge Wang, Xintao Wu, Yuliang Zheng
IEEEICCI
2006
IEEE
15 years 4 months ago
User-centered Interactive Data Mining
While many data mining models concentrate on automation and efficiency, interactive data mining models focus on adaptive and effective communications between human users and comp...
Yan Zhao, Yaohua Chen, Yiyu Yao