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ML
2000
ACM
9 years 3 months ago
Maximizing Theory Accuracy Through Selective Reinterpretation
Existing methods for exploiting awed domain theories depend on the use of a su ciently large set of training examples for diagnosing and repairing aws in the theory. In this paper,...
Shlomo Argamon-Engelson, Moshe Koppel, Hillel Walt...
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
9 years 8 months ago
A Dataset Decomposition Approach to Data Mining and Machine Discovery
We present a novel data mining approach based on decomposition. In order to analyze a given dataset, the method decomposes it to a hierarchy of smaller and less complex datasets t...
Blaz Zupan, Marko Bohanec, Ivan Bratko, Bojan Cest...
ICML
1997
IEEE
9 years 8 months ago
A Comparative Study on Feature Selection in Text Categorization
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
Yiming Yang, Jan O. Pedersen
ICML
1998
IEEE
10 years 4 months ago
The Case against Accuracy Estimation for Comparing Induction Algorithms
We analyze critically the use of classi cation accuracy to compare classi ers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learnin...
Foster J. Provost, Tom Fawcett, Ron Kohavi
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