899 search results - page 60 / 180 » Is an ordinal class structure useful in classifier learning |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We present a comprehensive suite of experimentation on the subject of learning from imbalanced data. When classes are imbalanced, many learning algorithms can suffer from the pers...
ADBIS
2003
Springer
14 years 2 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...
PREMI
2005
Springer
14 years 2 months ago
2005
Springer
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
ENGL
2007
13 years 8 months ago
2007
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
LREC
2008
13 years 10 months ago
2008
Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...