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» A boosting approach for motif modeling using ChIP-chip data
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ICTAI
2007
IEEE
15 years 4 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
BMCBI
2005
145views more  BMCBI 2005»
14 years 9 months ago
CAGER: classification analysis of gene expression regulation using multiple information sources
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
Jianhua Ruan, Weixiong Zhang
CVPR
2007
IEEE
15 years 12 months ago
Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression
We address the problem of estimating human pose in video sequences, where rough location has been determined. We exploit both appearance and motion information by defining suitabl...
Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soat...
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
15 years 10 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith
PAMI
2012
13 years 10 days ago
UBoost: Boosting with the Universum
—It has been shown that the Universum data, which do not belong to either class of the classification problem of interest, may contain useful prior domain knowledge for training...
Chunhua Shen, Peng Wang, Fumin Shen, Hanzi Wang