941 search results - page 148 / 189 » Adaptive Learning from Evolving Data Streams |
136
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MLMI
2005
Springer
15 years 9 months ago
2005
Springer
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extents in various real-life applications....
164
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GI
1998
Springer
15 years 8 months ago
1998
Springer
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
149
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NIPS
2000
15 years 5 months ago
2000
Source separation, or computational auditory scene analysis, attempts to extract individual acoustic objects from input which contains a mixture of sounds from different sources, ...
152
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CVPR
2007
IEEE
15 years 7 months ago
2007
IEEE
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
206
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SIGMOD
2008
ACM
16 years 4 months ago
2008
ACM
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...