3378 search results - page 434 / 676 » Learning in Friedberg Numberings |
175
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
166
Voted
ICPR
2010
IEEE
15 years 7 months ago
2010
IEEE
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
169
Voted
COGSCI
2010
15 years 6 months ago
2010
This paper compares two explanations of the process by which human communication systems evolve: iterated learning and social collaboration. It then reports an experiment testing ...
167
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BMCBI
2006
15 years 6 months ago
2006
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
161
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BMCBI
2006
15 years 6 months ago
2006
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...