1578 search results - page 71 / 316 » Algorithmic randomness of continuous functions |
BMCBI
2007
14 years 10 months ago
2007
Background: Many algorithms exist for protein structural alignment, based on internal protein coordinates or on explicit superposition of the structures. These methods are usually...
118
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ESOP
2011
Springer
14 years 1 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
119
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FOIKS
2008
Springer
15 years 6 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
SPAA
1997
ACM
15 years 1 months ago
1997
ACM
Consider a set of shared objects in a distributed network, where several copies of each object may exist at any given time. To ensure both fast access to the objects as well as e ...
101
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FOCS
1999
IEEE
15 years 2 months ago
1999
IEEE
Various efforts ([?, ?, ?]) have been made in recent years to derandomize probabilistic algorithms using the complexity theoretic assumption that there exists a problem in E = dti...