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JAIR
2008
120views more  JAIR 2008»
13 years 8 months ago
Anytime Induction of Low-cost, Low-error Classifiers: a Sampling-based Approach
Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...
Saher Esmeir, Shaul Markovitch
ICIP
2009
IEEE
13 years 6 months ago
An incremental extremely random forest classifier for online learning and tracking
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Aiping Wang, Guowei Wan, Zhiquan Cheng, Sikun Li
ISBI
2006
IEEE
14 years 9 months ago
Classification of galactograms using fractal properties of the breast ductal network
Several types of breast carcinomas tend to spread along the surface of the ductal lumen. Spontaneous nipple discharge can be an early symptom of such cancer development that does ...
Despina Kontos, Vasileios Megalooikonomou, Ailar J...
ISMIR
2004
Springer
162views Music» more  ISMIR 2004»
14 years 2 months ago
Features and classifiers for the automatic classification of musical audio signals
Several factors affecting the automatic classification of musical audio signals are examined. Classification is performed on short audio frames and results are reported as “ba...
Kristopher West, Stephen Cox
HIS
2008
13 years 10 months ago
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
Hernán Ahumada, Guillermo L. Grinblat, Luca...