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Gaussian processes for classification: mean field algorithms: mean-field algorithms
Manfred Opper, Ole Winther
Aston University
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Dive into the research topics of 'Gaussian processes for classification: mean field algorithms: mean-field algorithms'. Together they form a unique fingerprint.
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Keyphrases
Gaussian Process
100%
Leave-one-out
100%
Mean Field
100%
Support Vector Machine
50%
TAP Approach
50%
Generalization Error
25%
Statistical Physics
25%
Disordered Systems
25%
Benchmark Dataset
25%
Mean-field Approach
25%
Internal Consistency
25%
Model Selection
25%
Mean-field Theory
25%
Machining Simulation
25%
Computational Cost
25%
Binary Classification
25%
Art Performance
25%
Mathematics
Gaussian Process
100%
Support Vector Machine
100%
Approximates
50%
Limiting Case
50%
Model Selection
50%
Binary Classification
50%
Computational Cost
50%
Internal Consistency
50%
Engineering
Gaussians
100%
Support Vector Machine
100%
Limiting Case
50%
Internals
50%
Simulation Result
50%
Computational Cost
50%
Physics
Gaussian Distribution
100%
Statistical Physics
50%
Disordered System
50%
Earth and Planetary Sciences
Support Vector Machine
100%
State of the Art
50%