5802 search results - page 848 / 1161 » Parallelizing Feature Selection |
185
Voted
ICIP
2008
IEEE
16 years 8 months ago
2008
IEEE
Exploding amounts of multimedia data increasingly require automatic indexing and classification, e.g. training classifiers to produce high-level features, or semantic concepts, ch...
206
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KDD
2004
ACM
16 years 7 months ago
2004
ACM
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
280
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VLDB
2007
ACM
16 years 7 months ago
2007
ACM
Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g D such that q contains g (q g). Due to the wide adoption of graph models, f...
189
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KDD
2009
ACM
16 years 1 months ago
2009
ACM
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
170
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EUROCAST
2007
Springer
16 years 27 days ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...