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ICML
2005
IEEE
16 years 6 months ago
Incomplete-data classification using logistic regression
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...
David Williams, Xuejun Liao, Ya Xue, Lawrence Cari...
163
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ICML
2004
IEEE
16 years 6 months ago
Robust feature induction for support vector machines
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
Rong Jin, Huan Liu
CORR
2007
Springer
177views Education» more  CORR 2007»
15 years 5 months ago
N3Logic: A Logical Framework For the World Wide Web
The Semantic Web drives towards the use of the Web for interacting with logically interconnected data. Through knowledge models such as Resource Description Framework (RDF), the S...
Tim Berners-Lee, Dan Connolly, Lalana Kagal, Yosi ...
CISSE
2008
Springer
15 years 7 months ago
Sentiment Mining Using Ensemble Classification Models
We live in the information age, where the amount of data readily available already overwhelms our capacity to analyze and absorb it without help from our machines. In particular, ...
Matthew Whitehead, Larry Yaeger
COLT
1999
Springer
15 years 10 months ago
Covering Numbers for Support Vector Machines
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Ro...