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» Incomplete-data classification using logistic regression
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KDD
2009
ACM
215views Data Mining» more  KDD 2009»
14 years 6 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
CSB
2005
IEEE
145views Bioinformatics» more  CSB 2005»
13 years 11 months ago
Classification Methods for HIV-1 Medicated Neuronal Damage
HIV-1-associated dementia (HAD) is the most devastating disease happened in the central nervous system of AIDS patients. Neuronal damage, the early indicator of HAD, under differe...
Mengjun Wang, Jialin Zheng, Zhengxin Chen, Yong Sh...
CSSC
2008
110views more  CSSC 2008»
13 years 5 months ago
Nonlinear Quantile Regression Estimation of Longitudinal Data
This paper examines a weighted version of the quantile regression estimator defined by Koenker and Bassett (1978), adjusted to the case of nonlinear longitudinal data. Different w...
Andreas Karlsson
EOR
2007
108views more  EOR 2007»
13 years 5 months ago
Measuring retail company performance using credit scoring techniques
This paper proposes a theoretical framework for predicting financial distress based on Hunt’s (2000) Resource-Advantage Theory of Competition. The study focuses on the US retail...
Yu-Chiang Hu, Jake Ansell
ESANN
2008
13 years 7 months ago
Multi-class classification of ovarian tumors
In this work, we developed classifiers to distinguish between four ovarian tumor types using Bayesian least squares support vector machines (LS-SVMs) and kernel logistic regression...
Ben Van Calster, Dirk Timmerman, Antonia C. Testa,...