NDLTD Global ETD Search
  • Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 2
  • Tagged with
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Search results

Showing 1 to 2 of 2 (0.121 seconds)

Spelling suggestions: "subject:"klassifikationstiefe"" "subject:"klassifikationstid""

1

An Approach to Incremental Learning Good Classification Tests

Naidenova, Xenia, Parkhomenko, Vladimir 28 May 2013 (has links) (PDF)
An algorithm of incremental mining implicative logical rules is pro-posed. This algorithm is based on constructing good classification tests. The in-cremental approach to constructing these rules allows revealing the interde-pendence between two fundamental components of human thinking: pattern recognition and knowledge acquisition.
inkrementales Lernen
Klassifikationstest
Mustererkennung
maschinelles Lernen
Wissenserwerb
Incremental learning
Good classification test
Pattern recognition
Machine learning
Human mental operations
ddc:004
rvk:ST 278
rvk:ST 125
2

An Approach to Incremental Learning Good Classification Tests

Naidenova, Xenia, Parkhomenko, Vladimir 28 May 2013 (has links)
An algorithm of incremental mining implicative logical rules is pro-posed. This algorithm is based on constructing good classification tests. The in-cremental approach to constructing these rules allows revealing the interde-pendence between two fundamental components of human thinking: pattern recognition and knowledge acquisition.
info:eu-repo/classification/ddc/004
ddc:004

Page generated in 0.126 seconds