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» Data Mining via Support Vector Machines
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ICML
2003
IEEE
15 years 10 months ago
Kernel PLS-SVC for Linear and Nonlinear Classification
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
Roman Rosipal, Leonard J. Trejo, Bryan Matthews
KDD
2004
ACM
162views Data Mining» more  KDD 2004»
15 years 10 months ago
Discovering Links Between Lexical and Surface Features in Questions and Answers
Information retrieval systems, based on keyword match, are evolving to question answering systems that return short passages or direct answers to questions, rather than URLs point...
Soumen Chakrabarti
ADMA
2006
Springer
167views Data Mining» more  ADMA 2006»
15 years 4 months ago
A Correlation Approach for Automatic Image Annotation
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
David R. Hardoon, Craig Saunders, Sándor Sz...
KES
2007
Springer
15 years 4 months ago
Time Discretisation Applied to Anomaly Detection in a Marine Engine
This paper introduces the problems associated with anomaly detection in a marine engine, and explains the benefits that the SAX representation brings to the field. Despite limita...
Ian Morgan, Honghai Liu, George Turnbull, David J....
ESANN
2007
14 years 11 months ago
One-class SVM regularization path and comparison with alpha seeding
One-class support vector machines (1-SVMs) estimate the level set of the underlying density observed data. Aside the kernel selection issue, one difficulty concerns the choice of t...
Alain Rakotomamonjy, Manuel Davy