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KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 7 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
CIKM
2007
Springer
16 years 1 months ago
Predictive user click models based on click-through history
Web search engines consistently collect information about users interaction with the system: they record the query they issued, the URL of presented and selected documents along w...
Benjamin Piwowarski, Hugo Zaragoza
ISCAS
2006
IEEE
136views Hardware» more  ISCAS 2006»
16 years 1 months ago
An adaptable foveating vision chip
In this work we present an adaptable foveating vision biological eye has exceptionally good optomechanics. This chip. This chip has no physical foveation; all its pixels are in the...
Timothy G. Constandinou, Patrick Degenaar, Christo...
GRC
2010
IEEE
15 years 8 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
BMCBI
2004
115views more  BMCBI 2004»
15 years 7 months ago
An SVD-based comparison of nine whole eukaryotic genomes supports a coelomate rather than ecdysozoan lineage
Background: Eukaryotic whole genome sequences are accumulating at an impressive rate. Effective methods for comparing multiple whole eukaryotic genomes on a large scale are needed...
Gary W. Stuart, Michael W. Berry