1175 search results - page 146 / 235 » Experimental perspectives on learning from imbalanced data |
MIR
2005
ACM
15 years 3 months ago
2005
ACM
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...
107
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FCSC
2010
14 years 7 months ago
2010
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
108
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JMLR
2010
14 years 4 months ago
2010
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
ICML
1998
IEEE
15 years 10 months ago
1998
IEEE
Stochastic topological models, and hidden Markov models in particular, are a useful tool for robotic navigation and planning. In previous work we have shown how weak odometric dat...
KDD
2004
ACM
15 years 3 months ago
2004
ACM
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...