4578 search results - page 384 / 916 » Learning from Multi-source Data |
130
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UAI
2003
15 years 5 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
149
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COLING
1996
15 years 5 months ago
1996
We address the problem of automatically acquiring case frame patterns (selectional patterns) from large corpus data. In particular, we l)ropose a method of learning dependencies b...
140
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IJAR
2007
15 years 4 months ago
2007
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
113
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JMLR
2002
15 years 3 months ago
2002
A single signal processing algorithm can be represented by many mathematically equivalent formulas. However, when these formulas are implemented in code and run on real machines, ...
115
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CIDM
2007
IEEE
15 years 8 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...