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» On learning algorithm selection for classification
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ICIP
2007
IEEE
15 years 8 months ago
Learning Appearance Primitives of Iris Images for Ethnic Classification
Iris pattern is commonly regarded as a kind of phenotypic feature without relation to genes. In our previous work, we argued that iris texture is race related, and its genetic inf...
Xianchao Qiu, Zhenan Sun, Tieniu Tan
ICML
2008
IEEE
16 years 3 months ago
Confidence-weighted linear classification
We introduce confidence-weighted linear classifiers, which add parameter confidence information to linear classifiers. Online learners in this setting update both classifier param...
Mark Dredze, Koby Crammer, Fernando Pereira
ECIR
2003
Springer
15 years 3 months ago
Hierarchical Classification of HTML Documents with WebClassII
This paper describes a new method for the classification of a HTML document into a hierarchy of categories. The hierarchy of categories is involved in all phases of automated docum...
Michelangelo Ceci, Donato Malerba
107
Voted
ML
2002
ACM
129views Machine Learning» more  ML 2002»
15 years 1 months ago
Model Selection for Small Sample Regression
Model selection is an important ingredient of many machine learning algorithms, in particular when the sample size in small, in order to strike the right trade-off between overfitt...
Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio
114
Voted
BMCBI
2010
146views more  BMCBI 2010»
15 years 2 months ago
Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery
Background: As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. Ho...
Henry Han