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» Prediction in Multilevel Logistic Regression
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AAAI
2011
12 years 7 months ago
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
Steven Phillips, Jane Elith
KBSE
2003
IEEE
14 years 22 days ago
Predicting Fault Prone Modules by the Dempster-Shafer Belief Networks
This paper describes a novel methodology for predicting fault prone modules. The methodology is based on Dempster-Shafer (D-S) belief networks. Our approach consists of three step...
Lan Guo, Bojan Cukic, Harshinder Singh
IBPRIA
2007
Springer
14 years 1 months ago
Bayesian Hyperspectral Image Segmentation with Discriminative Class Learning
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Janete S. Borges, José M. Bioucas-Dias, And...
ICSE
2008
IEEE-ACM
14 years 8 months ago
Predicting accurate and actionable static analysis warnings: an experimental approach
Static analysis tools report software defects that may or may not be detected by other verification methods. Two challenges complicating the adoption of these tools are spurious f...
Joseph R. Ruthruff, John Penix, J. David Morgentha...
CSB
2005
IEEE
145views Bioinformatics» more  CSB 2005»
14 years 1 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...