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Van Der Vaart et al., 2011 - Google Patents

Information Rates of Nonparametric Gaussian Process Methods.

Van Der Vaart et al., 2011

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Document ID
12182647262119887649
Author
Van Der Vaart A
Van Zanten H
Publication year
Publication venue
Journal of Machine Learning Research

External Links

Snippet

We consider the quality of learning a response function by a nonparametric Bayesian approach using a Gaussian process (GP) prior on the response function. We upper bound the quadratic risk of the learning procedure, which in turn is an upper bound on the Kullback …
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Classifications

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    • G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • G06K9/62—Methods or arrangements for recognition using electronic means
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    • G06K9/6261—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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    • G06K9/6218—Clustering techniques
    • G06K9/622—Non-hierarchical partitioning techniques
    • G06K9/6226—Non-hierarchical partitioning techniques based on the modelling of probability density functions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
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