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ICML
2004
IEEE
16 years 7 months ago
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
CHI
2005
ACM
16 years 6 months ago
Glimpse: a novel input model for multi-level devices
We describe a technique that supports the previewing of navigation, exploration, and editing operations by providing convenient Undo for unsuccessful and/or undesirable actions on...
Clifton Forlines, Chia Shen
ISORC
2007
IEEE
16 years 13 days ago
QUICKER: A Model-Driven QoS Mapping Tool for QoS-Enabled Component Middleware
This paper provides three contributions to the study of quality of service (QoS) configuration in component-based DRE systems. First, we describe the challenges associated with m...
Amogh Kavimandan, Krishnakumar Balasubramanian, Ni...
171
Voted
CIBCB
2006
IEEE
16 years 6 days ago
A Model-Free Greedy Gene Selection for Microarray Sample Class Prediction
— Microarray data analysis is notoriously challenging as it involves a huge number of genes compared to only a limited number of samples. Gene selection, to detect the most signi...
Yi Shi, Zhipeng Cai, Lizhe Xu, Wei Ren, Randy Goeb...
171
Voted
IJCNN
2006
IEEE
16 years 5 days ago
Modeling Cortical Maps with Feed-Backs
Abstract— High-level specification of how the brain represents and categorizes the causes of its sensory input allows to link “what is to be done” (perceptual task) with “...
Thierry Viéville, Pierre Kornprobst