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» Confidence-weighted linear classification
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EMNLP
2009
14 years 9 months ago
Polynomial to Linear: Efficient Classification with Conjunctive Features
This paper proposes a method that speeds up a classifier trained with many conjunctive features: combinations of (primitive) features. The key idea is to precompute as partial res...
Naoki Yoshinaga, Masaru Kitsuregawa
SIAMREV
2010
174views more  SIAMREV 2010»
14 years 6 months ago
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the ...
Benjamin Recht, Maryam Fazel, Pablo A. Parrilo
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 5 days ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
82
Voted
ICPR
2006
IEEE
16 years 26 days ago
Linear model combining by optimizing the Area under the ROC curve
In some classification problems, like the detection of illnesses in patients, classes are very unbalanced and the misclassification costs for different classes vary significantly....
David M. J. Tax, Robert P. W. Duin
92
Voted
PAMI
2002
148views more  PAMI 2002»
14 years 11 months ago
Two Variations on Fisher's Linear Discriminant for Pattern Recognition
Discriminants are often used in pattern recognition to separate clusters of points in some multidimensional "feature" space. This paper provides two fast and simple techn...
Tristrom Cooke