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ICIP
2009
IEEE
14 years 7 months ago
An incremental extremely random forest classifier for online learning and tracking
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Aiping Wang, Guowei Wan, Zhiquan Cheng, Sikun Li
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 1 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
BMCBI
2005
97views more  BMCBI 2005»
14 years 9 months ago
Comparative mapping of sequence-based and structure-based protein domains
Background: Protein domains have long been an ill-defined concept in biology. They are generally described as autonomous folding units with evolutionary and functional independenc...
Ya Zhang, John-Marc Chandonia, Chris H. Q. Ding, S...
CVPR
2003
IEEE
15 years 12 months ago
Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
Lior Wolf, Amnon Shashua
BIBE
2001
IEEE
15 years 1 months ago
Gene Classification using Expression Profiles: A Feasibility Study
As various genome sequencing projects have already been completed or are near completion, genome researchers are shifting their focus from structural genomics to functional genomi...
Michihiro Kuramochi, George Karypis