1364 search results - page 148 / 273 » Sampling Methods for Unsupervised Learning |
188
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
Image analysis is still considered as the bottleneck in 2D-gel based expression proteomics analysis for biomarkers discovery. We are presenting a new end-to-end image analysis pip...
149
Voted
BMCBI
2006
15 years 2 months ago
2006
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
100
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ACL
2006
15 years 4 months ago
2006
This paper presents a method for adapting a language generator to the strengths and weaknesses of a synthetic voice, thereby improving the naturalness of synthetic speech in a spo...
124
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ILP
2004
Springer
15 years 8 months ago
2004
Springer
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
144
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
In online tracking, the tracker evolves to reflect variations in object appearance and surroundings. This updating process is formulated as a supervised learning problem, thus a ...