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Paper Abstract and Keywords
Presentation 2011-09-06 14:50
A Method for Multiple Instance Learning Using Sparse Kernel Machines
Kazuhisa Nagashima, Masato Inoue (Waseda Univ.) PRMU2011-77 IBISML2011-36
Abstract (in Japanese) (See Japanese page) 
(in English) Multiple Instance Learning problem (MIL) is roughly one of the classification problems.
In generally classification problem, the traning set comprises words, which label is positive or negative , and the task is to predict the labels of unseen words with those similarity.
The methods for general classification problem are Support Vector Machine (SVM), Logistic Regression and so on, and fast algorithems were developped.
Moreover, the most of these methods are easy to use because they are packaged.
In contrast, the packaged methods for MIL are very few, and because of the complication of classificatory criterion, they are worse than general classification methods with calculation amount.
In this paper, we propose the framework of method for MIL using Sparse Kernel Machines by changing Basis Function comfiguration.
In the proposed method, if the right keywords are estimated, it is rare to estimate the wrong
keywords even if information of other words is insufficient.
Keyword (in Japanese) (See Japanese page) 
(in English) Multiple Instance Learning / Logistic Regression / Kernel Method / RVM / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 194, IBISML2011-36, pp. 159-163, Sept. 2011.
Paper # IBISML2011-36 
Date of Issue 2011-08-29 (PRMU, IBISML) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF PRMU2011-77 IBISML2011-36

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2011-09-05 - 2011-09-06 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IBISML 
Conference Code 2011-09-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Method for Multiple Instance Learning Using Sparse Kernel Machines 
Sub Title (in English)  
Keyword(1) Multiple Instance Learning  
Keyword(2) Logistic Regression  
Keyword(3) Kernel Method  
Keyword(4) RVM  
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1st Author's Name Kazuhisa Nagashima  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Masato Inoue  
2nd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2011-09-06 14:50:00 
Presentation Time 30 minutes 
Registration for IBISML 
Paper # PRMU2011-77, IBISML2011-36 
Volume (vol) vol.111 
Number (no) no.193(PRMU), no.194(IBISML) 
Page pp.159-163 
#Pages 5 
Date of Issue 2011-08-29 (PRMU, IBISML) 

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