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Abstract: Well-calibrated probabilities are necessary in many applications like probabilistic frameworks or cost-sensitive tasks. Based on previous success of asymmetric Laplace method in calibrating text classi ers' scores, we propose to use piecewise logistic regression, which is a simple extension of standard logistic regression, as an alternative method in the discriminative family. We show that both methods have the exibility to be piecewise linear functions in log-odds, but they are... (Update)
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BibTeX entry: (Update)
@misc{ jian-probabilistic,
author = "Jian Zhang Jian",
title = "Probabilistic Score Estimation with Piecewise Logistic Regression",
url = "citeseer.ist.psu.edu/751721.html" }
Citations (may not include all citations):450 Generalized Additive Model - Hastie, Tibshirani - 1996
376 Text categorization with support vector machines: Learning w.. - Joachims - 1998
215 A Comparative Study of Feature Selection in Text Categorizat.. - Yang, Pedersen - 1997
116 Beyond independence: Conditions for the optimality of the si.. - Domingos, Pazzani - 1996
81 Pattern Classi cation (context) - Duda, Hart et al. - 2001
72 Bow: A toolkit for statistical language modeling (context) - McCallum - 1996
32 A comparison of event models for naive bayes text classi cat.. (context) - McCallum, Nigam - 2002
24 Text Categorization based on regularized linear classi catio.. - Zhang, Oles - 2001
23 Obtaining calibrated probability estimates from decision tre.. - Zadrozny, Elkan - 2001
21 Training algorithms for linear text classi ers - Lewis, Schapire et al. - 1996
13 Classi cation by pairwise coupling - Tibshirani - 1996
9 A sequential algorithm for training text classi ers (context) - Lewis, Gale - 1994
9 Using Asymmetric Distributions to Improve Text Classi er Pro.. (context) - Bennett - 2003
6 The Laplace Distribution and Generalizations: A Revisit with.. (context) - Kotz, Kozubowski et al. - 2001
2 Transforming Classi er Scores into Accurate Multiclass Proba.. (context) - Zadrozny, Elkan - 2002
2 Discriminative vs (context) - Rubinstein, Hastie - 1999
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Report on the CONALD Workshop on Learning from Text.. - Carbonell, Craven.. (1998) (Correct)
Noise Reduction in a Statistical Approach to Text Categorization - Yang (1995) (Correct)
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