4965 search results - page 357 / 993 » A Simple Abstraction for Data Modeling |
159
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
148
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ICDM
2005
IEEE
16 years 11 days ago
2005
IEEE
Monotonicity is a simple yet significant qualitative characteristic. We consider the problem of segmenting an array in up to K segments. We want segments to be as monotonic as po...
172
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ICPPW
2003
IEEE
16 years 1 days ago
2003
IEEE
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
170
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IDA
2003
Springer
15 years 12 months ago
2003
Springer
Because uncertain reasoning is often intractable, it is hard to reason with a large amount of knowledge. One solution to this problem is to specify a set of possible models, some s...
174
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FOCS
1999
IEEE
15 years 11 months ago
1999
IEEE
Mixtures of Gaussians are among the most fundamental and widely used statistical models. Current techniques for learning such mixtures from data are local search heuristics with w...