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CORR
2002
Springer
132views Education» more  CORR 2002»
13 years 6 months ago
Robust Feature Selection by Mutual Information Distributions
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
Marco Zaffalon, Marcus Hutter
IDEAL
2000
Springer
13 years 10 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
CVPR
2008
IEEE
14 years 8 months ago
In defense of Nearest-Neighbor based image classification
State-of-the-art image classification methods require an intensive learning/training stage (using SVM, Boosting, etc.) In contrast, non-parametric Nearest-Neighbor (NN) based imag...
Oren Boiman, Eli Shechtman, Michal Irani
ICMLA
2009
14 years 3 months ago
Statistical Decision Making for Authentication and Intrusion Detection
User authentication and intrusion detection differ from standard classification problems in that while we have data generated from legitimate users, impostor or intrusion data is s...
Christos Dimitrakakis, Aikaterini Mitrokotsa
CASCON
2008
100views Education» more  CASCON 2008»
13 years 7 months ago
Is it a bug or an enhancement?: a text-based approach to classify change requests
Bug tracking systems are valuable assets for managing maintenance activities. They are widely used in open-source projects as well as in the software industry. They collect many d...
Giuliano Antoniol, Kamel Ayari, Massimiliano Di Pe...