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» Soft-Supervised Learning for Text Classification
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ICML
2004
IEEE
14 years 8 months ago
Hyperplane margin classifiers on the multinomial manifold
The assumptions behind linear classifiers for categorical data are examined and reformulated in the context of the multinomial manifold, the simplex of multinomial models furnishe...
Guy Lebanon, John D. Lafferty
CHI
2007
ACM
14 years 8 months ago
Comparing two methods for gesture based short text input using chording
We report on the design and initial evaluation of two methods for short text input in wearable computing applications using hand gestures. A wireless data glove able to recognize ...
Hendrik Witt, Torben Janssen
AINA
2007
IEEE
14 years 2 months ago
Extracting Significant Phrases from Text
Prospective readers can quickly determine whether a document is relevant to their information need if the significant phrases (or keyphrases) in this document are provided. Althou...
Yuan J. Lui, Richard Brent, Ani Calinescu
SIGIR
2003
ACM
14 years 1 months ago
Question classification using support vector machines
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...
Dell Zhang, Wee Sun Lee
ICML
2004
IEEE
14 years 8 months ago
Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5
Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of features. Most previous studies found that the major...
Evgeniy Gabrilovich, Shaul Markovitch