4578 search results - page 470 / 916 » Learning from Multi-source Data |
154
Voted
MM
2004
ACM
15 years 10 months ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
109
Voted
ITS
2010
Springer
15 years 9 months ago
2010
Springer
The use of technology for instruction, and the enormous amount of information available for consumption, places a considerable burden on instructors who must learn to integrate app...
162
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AAAI
2010
15 years 6 months ago
2010
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
124
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UAI
2003
15 years 6 months ago
2003
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
144
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FUIN
2006
15 years 4 months ago
2006
Sunspots are the subject of interest to many astronomers and solar physicists. Sunspot observation, analysis and classification form an important part of furthering the knowledge a...