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» Experiments with Classifier Combining Rules
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ESEM
2008
ACM
15 years 3 months ago
A hybrid faulty module prediction using association rule mining and logistic regression analysis
This paper proposes a fault-prone module prediction method that combines association rule mining with logistic regression analysis. In the proposed method, we focus on three key m...
Yasutaka Kamei, Akito Monden, Shuuji Morisaki, Ken...
LREC
2008
84views Education» more  LREC 2008»
15 years 2 months ago
Statistical Identification of English Loanwords in Korean Using Automatically Generated Training Data
This paper describes an accurate, extensible method for automatically classifying unknown foreign words that requires minimal monolingual resources and no bilingual training data ...
Kirk Baker, Chris Brew
HIS
2008
15 years 2 months ago
Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...
Rafael Giusti, Gustavo E. A. P. A. Batista, Ronald...
ICASSP
2008
IEEE
15 years 7 months ago
A normalized adaptation scheme for the convex combination of two adaptive filters
Adaptive filtering schemes are subject to different tradeoffs regarding their steady-state misadjustment, speed of convergence and tracking performance. To alleviate these comp...
Luis Antonio Azpicueta-Ruiz, Aníbal R. Figu...
DATAMINE
2008
112views more  DATAMINE 2008»
15 years 1 months ago
PRIE: a system for generating rulelists to maximize ROC performance
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
Tom Fawcett