Publication result detail

Increasing Classification Accuracy in LibSVM Using String Kernel Functions

HOMOLIAK, I.

Original Title

Increasing Classification Accuracy in LibSVM Using String Kernel Functions

English Title

Increasing Classification Accuracy in LibSVM Using String Kernel Functions

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

This publication deal with classification of text data using string kernel functions and SVM. There are discussed various experiments with string kernel functions and SVM.

English abstract

This publication deal with classification of text data using string kernel functions and SVM. There are discussed various experiments with string kernel functions and SVM.

Keywords

classification, libSVM, spam detection, string kernel functions

Key words in English

classification, libSVM, spam detection, string kernel functions

Authors

HOMOLIAK, I.

RIV year

2013

Released

05.04.2012

Publisher

Faculty of Electrical Engineering and Communication BUT

Location

Brno

ISBN

978-80-214-4461-4

Book

Proceedings of the 18th Conference STUDENT EEICT 2012

Edition

Student EEICT, Volume 2

Pages from

281

Pages to

283

Pages count

3

URL

https://www.fit.vut.cz/research/publication/10301/

BibTex

@inproceedings{BUT98568,
  author="Ivan {Homoliak}",
  title="Increasing Classification Accuracy in LibSVM Using String Kernel Functions",
  booktitle="Proceedings of the 18th Conference STUDENT EEICT 2012",
  year="2012",
  series="Student EEICT, Volume 2",
  pages="281--283",
  publisher="Faculty of Electrical Engineering and Communication BUT",
  address="Brno",
  isbn="978-80-214-4461-4",
  url="https://www.fit.vut.cz/research/publication/10301/"
}

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