ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • comprehensibility  (2)
Collection
Keywords
Publisher
Years
  • 1
    Electronic Resource
    Electronic Resource
    The CN2 Induction Algorithm (1989)
    Springer
    Machine learning 3 (1989), S. 261-283 
    Details
    ISSN: 0885-6125
    Keywords: Concept learning ; rule induction ; noise ; comprehensibility
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Systems for inducing concept descriptions from examples are valuable tools for assisting in the task of knowledge acquisition for expert systems. This paper presents a description and empirical evaluation of a new induction system, CN2, designed for the efficient induction of simple, comprehensible production rules in domains where problems of poor description language and/or noise may be present. Implementations of the CN2, ID3, and AQ algorithms are compared on three medical classification tasks.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1022641700528
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    The CN2 induction algorithm (1989)
    Springer
    Machine learning 3 (1989), S. 261-283 
    Details
    ISSN: 0885-6125
    Keywords: Concept learning ; rule induction ; noise ; comprehensibility
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Systems for inducing concept descriptions from examples are valuable tools for assisting in the task of knowledge acquisition for expert systems. This paper presents a description and empirical evaluation of a new induction system. CN2, designed for the efficient induction of simple, comprehensible production rules in domains where problems of poor description language and/or noise may be present. Implementations of the CN2, ID3, and AQ algorithms are compared on three medical classification tasks.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00116835
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...