IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2011-11-10 15:45
A convex formulations of learning from crowds
Hiroshi Kajino, Hisashi Kashima (UT) IBISML2011-76
Abstract (in Japanese) (See Japanese page) 
(in English) It has attracted considerable attention to use crowdsourcing services
to collect a large amount of labeled data for machine learning,
since crowdsourcing services allow one to ask the general public to
label data at very low cost through the Internet.
The use of crowdsourcing has introduced a new challenge in machine
learning, that is, coping with low quality of crowd-generated data.
There have been many recent attempts to address the quality problem of
multiple labelers, however, there is a serious drawback in the existing approaches, that is non-convexity of the objective function.
Most of the existing methods consider true labels as latent variables,
which results in non-convex optimization problems.
In this paper, we propose a convex optimization formulation of learning
from crowds by introducing personal models of individual crowds without
estimating true labels.
We also devise an efficient iterative method for solving the convex
optimization problem by exploiting conditional independence structures
in multiple classifiers.
Keyword (in Japanese) (See Japanese page) 
(in English) crowdsourcing / convex optimization / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 275, IBISML2011-76, pp. 231-236, Nov. 2011.
Paper # IBISML2011-76 
Date of Issue 2011-11-02 (IBISML) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 IBISML2011-76

Conference Information
Committee IBISML  
Conference Date 2011-11-09 - 2011-11-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Nara Womens Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 14th IBIS workshop 
Paper Information
Registration To IBISML 
Conference Code 2011-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A convex formulations of learning from crowds 
Sub Title (in English)  
Keyword(1) crowdsourcing  
Keyword(2) convex optimization  
1st Author's Name Hiroshi Kajino  
1st Author's Affiliation University of Tokyo (UT)
2nd Author's Name Hisashi Kashima  
2nd Author's Affiliation University of Tokyo (UT)
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Date Time 2011-11-10 15:45:00 
Presentation Time 180 
Registration for IBISML 
Paper # IEICE-IBISML2011-76 
Volume (vol) IEICE-111 
Number (no) no.275 
Page pp.231-236 
#Pages IEICE-6 
Date of Issue IEICE-IBISML-2011-11-02 

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan