1364 search results - page 90 / 273 » Sampling Methods for Unsupervised Learning |
134
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FLAIRS
2004
15 years 4 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
147
Voted
KDD
2006
ACM
16 years 3 months ago
2006
ACM
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
133
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ECCV
2008
Springer
16 years 4 months ago
2008
Springer
The increased use of context for high level reasoning has been popular in recent works to increase recognition accuracy. In this paper, we consider an orthogonal application of con...
115
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CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
154
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ICMLA
2009
15 years 10 days ago
2009
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...