1895 search results - page 193 / 379 » Function learning from interpolation |
126
Voted
IJAR
2010
15 years 1 months ago
2010
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
116
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AIPS
2008
15 years 5 months ago
2008
The current evaluation functions for heuristic planning are expensive to compute. In numerous domains these functions give good guidance on the solution, so it worths the computat...
115
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CORR
2008
Springer
15 years 3 months ago
2008
Springer
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
123
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DAGM
2003
Springer
15 years 8 months ago
2003
Springer
Compared to their ancestors in the early 1970s, present day computer games are of incredible complexity and show magnificent graphical performance. However, in programming intelli...
119
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LWA
2007
15 years 4 months ago
2007
This paper describes the application of machine learning methods to determine parameters for DeLite, a readability checking tool. DeLite pinpoints text segments that are difficul...