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JMLR
2006
99views more  JMLR 2006»
15 years 6 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
JDWM
2007
107views more  JDWM 2007»
15 years 6 months ago
Evolutionary Induction of Mixed Decision Trees
This article presents a new evolutionary algorithm (EA) for induction of mixed decision trees. In nonterminal nodes of a mixed tree, different types of tests can be placed, rangin...
Marek Kretowski, Marek Grzes
TSP
2008
89views more  TSP 2008»
15 years 6 months ago
The Kernel Least-Mean-Square Algorithm
The combination of the famed kernel trick and the least-mean-square (LMS) algorithm provides an interesting sample by sample update for an adaptive filter in reproducing Kernel Hil...
Weifeng Liu, Puskal P. Pokharel, Jose C. Principe
NAR
2007
90views more  NAR 2007»
15 years 5 months ago
PigGIS: Pig Genomic Informatics System
Pig Genomic Information System (PigGIS) is a web-based depository of pig (Sus scrofa) genomic learning mainly engineered for biomedical research to locate pig genes from their hum...
Jue Ruan, Yiran Guo, Heng Li, Yafeng Hu, Fei Song,...
ER
2010
Springer
114views Database» more  ER 2010»
15 years 5 months ago
KBB: A Knowledge-Bundle Builder for Research Studies
Researchers struggle to manage vast amounts of data coming from hundreds of sources in online repositories. To successfully conduct research studies, researchers need to find, ret...
David W. Embley, Stephen W. Liddle, Deryle W. Lons...