68 search results - page 6 / 14 » Classification with Incomplete Data Using Dirichlet Process ... |
CLEF
2010
Springer
14 years 10 months ago
2010
Springer
In the intellectual property field two tasks are of high relevance: prior art searching and patent classification. Prior art search is fundamental for many strategic issues such as...
NIPS
2004
14 years 10 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
112
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ACCV
2010
Springer
14 years 4 months ago
2010
Springer
Detecting instances of unknown categories is an important task for a multitude of problems such as object recognition, event detection, and defect localization. This paper investig...
101
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ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...