Presentation 2014-02-13
τ-information geometry : translation on a space of measurable functions
Masaru TANAKA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) τ-information geometry, that is a new formulation of information geometry, is given by extending a translation operation on an affine space consisting of measurable functions with up to scale. In this formulation, a τ-affine space P^~(τ=s) and its τ-affine conjugate space P^~(τ=1-s) play important roles, τ-affine conjugation of a point in P^~(τ=s) gives a point in P^~(τ=1-s) with the same affine coordinates. On the P^~(τ=s) × P^~(τ=1-s), a contraction, that is an inner product in some sense, is denned. With a renormalization technique for a τ-log-likelihood, the contraction leads to a new definition of an expectation. This new expectation admits a usual interpretation, but is essentially different from the usual one. It reveals that an escort distribution is nothing but a normalized and renormalized τ-log-likelihood. Therefore, the escort distribution is no longer necessary for us. What we need is the normalized and renormalized τ-log-likelihood. It is also given what αparameter in α-dual connections is.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) τ-affine structure / τ-affine conjugate / contraction / τ-log-likelihood / renormalized τ-log-likelihood / Fisher metric
Paper # PRMU2013-133,CNR2013-41
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Conference Information
Committee PRMU
Conference Date 2014/2/6(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) τ-information geometry : translation on a space of measurable functions
Sub Title (in English)
Keyword(1) τ-affine structure
Keyword(2) τ-affine conjugate
Keyword(3) contraction
Keyword(4) τ-log-likelihood
Keyword(5) renormalized τ-log-likelihood
Keyword(6) Fisher metric
1st Author's Name Masaru TANAKA
1st Author's Affiliation Faculty of Science, Fukuoka University()
Date 2014-02-13
Paper # PRMU2013-133,CNR2013-41
Volume (vol) vol.113
Number (no) 431
Page pp.pp.-
#Pages 6
Date of Issue