66 search results - page 6 / 14 » DIVACE: Diverse and Accurate Ensemble Learning Algorithm |
CIDM
2009
IEEE
14 years 2 months ago
2009
IEEE
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
TMI
2010
13 years 2 months ago
2010
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
MCS
2005
Springer
14 years 1 months ago
2005
Springer
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
ADBIS
2003
Springer
14 years 1 months ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
COLING
2010
13 years 2 months ago
2010
In this paper we consider the problem of building a system to predict readability of natural-language documents. Our system is trained using diverse features based on syntax and l...