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» Classifier Selection Based on Data Complexity Measures
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KDD
1998
ACM
120views Data Mining» more  KDD 1998»
15 years 2 months ago
Ranking - Methods for Flexible Evaluation and Efficient Comparison of Classification Performance
We present the notion of Ranking for evaluation of two-class classifiers. Ranking is based on using the ordering information contained in the output of a scoring model, rather tha...
Saharon Rosset
ICASSP
2011
IEEE
14 years 1 months ago
Nonparametric Bayesian feature selection for multi-task learning
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
Hui Li, Xuejun Liao, Lawrence Carin
RSCTC
2000
Springer
139views Fuzzy Logic» more  RSCTC 2000»
15 years 1 months ago
Application of Normalized Decision Measures to the New Case Classification
The optimization of rough set based classification models with respect to parameterized balance between a model's complexity and confidence is discussed. For this purpose, the...
Dominik Slezak, Jakub Wroblewski
SERP
2003
14 years 11 months ago
Measures for Mobile Users
— Software measures are important to evaluate software properties like complexity, reusability, maintainability, effort required, etc. Collecting such data is difficult because o...
Alberto Sillitti, Andrea Janes, Giancarlo Succi, T...
TITB
2010
197views Education» more  TITB 2010»
14 years 4 months ago
Detection of left ventricular motion abnormality via information measures and Bayesian filtering
We present an original information theoretic measure of heart motion based on the Shannon's differential entropy (SDE), which allows heart wall motion abnormality detection. B...
Kumaradevan Punithakumar, Ismail Ben Ayed, Ian G. ...