3114 search results - page 269 / 623 » Distributed Case-Based Learning |
114
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SODA
2001
ACM
15 years 3 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
120
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ACL
1998
15 years 3 months ago
1998
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
136
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ISCI
2008
15 years 2 months ago
2008
In this paper, we introduce weights into Pawlak rough set model to balance the class distribution of a data set and develop a weighted rough set based method to deal with the clas...
120
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PAMI
2008
15 years 2 months ago
2008
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
89
Voted
ETS
2000
IEEE
15 years 2 months ago
2000
IEEE
Internet enabled hybrid audio-data collaboration delivers high quality audio over telephone lines and data interaction over packet switched Internet connections, thus distributing...