1175 search results - page 146 / 235 » Experimental perspectives on learning from imbalanced data |
153
Voted
MIR
2005
ACM
15 years 11 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...
220
Voted
FCSC
2010
15 years 3 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...
202
Voted
JMLR
2010
15 years 27 days 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...
183
Voted
ICML
1998
IEEE
16 years 7 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...
161
click to vote
KDD
2004
ACM
15 years 11 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 ...