2316 search results - page 27 / 464 » The many forms of hypercomputation |
156
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ML
2012
ACM
13 years 11 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
199
Voted
PKDD
2010
Springer
15 years 1 months ago
2010
Springer
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
146
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AMAI
2010
Springer
15 years 1 months ago
2010
Springer
Constraints and quantitative preferences, or costs, are very useful for modelling many real-life problems. However, in many settings, it is difficult to specify precise preference ...
118
Voted
CORR
2010
Springer
15 years 1 months ago
2010
Springer
In many applications involving multi-media data, the definition of similarity between items is integral to several key tasks, including nearest-neighbor retrieval, classification,...
163
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ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
Statistical modeling of images plays a crucial role in modern image processing tasks like segmentation, object detection and restoration. Although Gaussian distributions are conve...