Asymptotic Properties of the Fisher Kernel

DOI10.1162/08997660460734029zbMath1084.68108OpenAlexW2159963587WikidataQ52001914 ScholiaQ52001914MaRDI QIDQ4823743

Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller

Publication date: 28 October 2004

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/08997660460734029

zbMATH Keywords

statistical properties

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (5)

Deriving Probabilistic SVM Kernels from Exponential Family Approximations to Multivariate Distributions for Count Data ⋮ VE dimension induced by Bayesian networks over the Boolean domain ⋮ Pattern classification of signals using Fisher kernels ⋮ VC dimension and inner product space induced by Bayesian networks ⋮ Inner product space and concept classes induced by Bayesian networks

Cites Work

• Algebraic Analysis for Nonidentifiable Learning Machines
• Estimation of Network Parameters in Semiparametric Stochastic Perceptron
• A New Discriminative Kernel from Probabilistic Models

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