Semi-supervised Learning Algorithm for Binary Relevance Multi-label Classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43926628" target="_blank" >RIV/49777513:23520/15:43926628 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-20370-6_1" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-20370-6_1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-20370-6_1" target="_blank" >10.1007/978-3-319-20370-6_1</a>
Alternative languages
Result language
angličtina
Original language name
Semi-supervised Learning Algorithm for Binary Relevance Multi-label Classification
Original language description
The presented paper describes our model for the WISE 2014 challenge multi-label classification task. The goal of the challenge was to implement a multi-label text classification model which maximizes the mean F1 score on a private test data. The described method involves a binary relevance scheme with linear classifiers trained using stochastic gradient descent. A novel method for determining the values of classifiers' meta-parameters was developed. In addition, our solution employs the semi-supervisedlearning which significantly improves the evaluation score. The presented solution won the third place in the challenge. The results are discussed and the supervised and semi-supervised approaches are compared.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Web Information Systems Engineering, WISE 2014, Workshops 15th International Workshops IWCSN 2014, Org2 2014, PCS 2014, and QUAT 2014 Thessaloniki, Greece, October 12 - 14, 2014 Revised Selected Papers
ISBN
978-3-319-20369-0
ISSN
0302-9743
e-ISSN
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Number of pages
13
Pages from-to
1-13
Publisher name
Springer
Place of publication
Heidelberg
Event location
Thessaloniki,Greece
Event date
Oct 12, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000363774800001