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Paper Abstract and Keywords
Presentation 2015-11-26 15:00
[Poster Presentation] Full-span log-linear model with L1 reguralization and its performance
Kazuya Takabatake, Shotaro Akaho (AIST)
Abstract (in Japanese) (See Japanese page) 
(in English) The full-span log-linear model is a log-linear model that has sufficient number of basis functions so that it is able to represent arbitrary Gibbs distributions.
Applying L_1 regularization for the learning of the full-span log-linear model, we can automatically obtain a model that has a small numbers of parameters; nevertheless, it flexibly represents various distributions for various target systems.
In this paper, theoretical properties of the full-span log-linear model that has hidden variables are shown.
Furthermore, we show performance comparisons between a full-span log-linear model and a Boltzmann machine.
Keyword (in Japanese) (See Japanese page) 
(in English) sparse modeling / L_1-regularization / log-linear model / performance comparison / fast algorithm / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 323, IBISML2015-73, pp. 153-157, Nov. 2015.
Paper # IBISML2015-73 
Date of Issue 2015-11-19 (IBISML) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee IBISML  
Conference Date 2015-11-25 - 2015-11-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Epochal Tsukuba 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information-Based Induction Science Workshop (IBIS2015) 
Paper Information
Registration To IBISML 
Conference Code 2015-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Full-span log-linear model with L1 reguralization and its performance 
Sub Title (in English)  
Keyword(1) sparse modeling  
Keyword(2) L_1-regularization  
Keyword(3) log-linear model  
Keyword(4) performance comparison  
Keyword(5) fast algorithm  
1st Author's Name Kazuya Takabatake  
1st Author's Affiliation Advanced Industrial Science and Technology (AIST)
2nd Author's Name Shotaro Akaho  
2nd Author's Affiliation Advanced Industrial Science and Technology (AIST)
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Date Time 2015-11-26 15:00:00 
Presentation Time 180 
Registration for IBISML 
Paper # IEICE-IBISML2015-73 
Volume (vol) IEICE-115 
Number (no) no.323 
Page pp.153-157 
#Pages IEICE-5 
Date of Issue IEICE-IBISML-2015-11-19 

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