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ICML
2007
IEEE
14 years 10 months ago
Quadratically gated mixture of experts for incomplete data classification
We introduce quadratically gated mixture of experts (QGME), a statistical model for multi-class nonlinear classification. The QGME is formulated in the setting of incomplete data,...
Xuejun Liao, Hui Li, Lawrence Carin
DATAMINE
2006
139views more  DATAMINE 2006»
13 years 10 months ago
Discovering Classification from Data of Multiple Sources
In many large e-commerce organizations, multiple data sources are often used to describe the same customers, thus it is important to consolidate data of multiple sources for intell...
Charles X. Ling, Qiang Yang
WMCSA
2008
IEEE
14 years 4 months ago
HealthSense: classification of health-related sensor data through user-assisted machine learning
Remote patient monitoring generates much more data than healthcare professionals are able to manually interpret. Automated detection of events of interest is therefore critical so...
Erich P. Stuntebeck, John S. Davis II, Gregory D. ...
IWPC
2000
IEEE
14 years 2 months ago
Evaluating the Accessor Classification Approach to Detect Abstract Data Types
ng the Accessor Classification Approach to Detect Abstract Data Types icle presents an approach to identify abstract data types (ADTs) in source code. For each structured type deļ...
Jean-Francois Girard, Martin Würthner
BMCBI
2005
118views more  BMCBI 2005»
13 years 9 months ago
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
Thanyaluk Jirapech-Umpai, J. Stuart Aitken