1034 search results - page 107 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
134
Voted
ICIP
2008
IEEE
16 years 5 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
161
Voted
ICMLA
2010
15 years 1 months ago
2010
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
116
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
131
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
111
Voted
ECML
2006
Springer
15 years 7 months ago
2006
Springer
Research in the rule induction algorithm field produced many algorithms in the last 30 years. However, these algorithms are usually obtained from a few basic rule induction algorit...