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» Statistical relational learning of trust
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MLDM
2005
Springer
14 years 2 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
ICVGIP
2004
13 years 10 months ago
Modeling Signs Using Functional Data Analysis
1 We present a functional data analysis (FDA) based method to statistically model continuous signs of the American Sign Language (ASL) for use in the recognition of signs in contin...
Sunita Nayak, Sudeep Sarkar, Kuntal Sengupta
BMCBI
2008
185views more  BMCBI 2008»
13 years 9 months ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...
ICML
2004
IEEE
14 years 9 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
GECCO
2005
Springer
111views Optimization» more  GECCO 2005»
14 years 2 months ago
XCS with eligibility traces
The development of the XCS Learning Classifier System has produced a robust and stable implementation that performs competitively in direct-reward environments. Although investig...
Jan Drugowitsch, Alwyn Barry