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  • Bias Shift  (2)
  • Springer  (2)
  • American Institute of Physics
  • American Institute of Physics (AIP)
  • Blackwell Publishing Ltd
Collection
Publisher
  • Springer  (2)
  • American Institute of Physics
  • American Institute of Physics (AIP)
  • Blackwell Publishing Ltd
Years
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Machine learning 20 (1995), S. 95-117 
    ISSN: 0885-6125
    Keywords: Inductive Logic Programming ; Bias Shift ; Predicate Invention
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract The task of predicate invention in Inductive Logic Programming is to extend the hypothesis language with new predicates if the vocabulary given initially is insufficient for the learning task. However, whether predicate invention really helps to make learning succeed in the extended language depends on the language bias currently employed. In this paper, we investigate for which commonly employed language biases predicate invention is an appropriate shift operation. We prove that for some restricted languages predicate invention does not help when the learning task fails and we characterize the languages for which predicate invention is useful. We investigate the decidability of the bias shift problem for these languages and discuss the capabilities of predicate invention as a bias shift operation.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Machine learning 20 (1995), S. 95-117 
    ISSN: 0885-6125
    Keywords: Inductive Logic Programming ; Bias Shift ; Predicate Invention
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract The task of predicate invention in Inductive Logic Programming is to extend the hypothesis language with new predicates if the vocabulary given initially is insufficient for the learning task. However, whether predicate invention really helps to make learning succeed in the extended language depends on the language bias currently employed. In this paper, we investigate for which commonly employed language biases predicate invention is an appropriate shift operation. We prove that for some restricted languages predicate invention does not help when the learning task fails and we characterize the languages for which predicate invention is useful. We investigate the decidability of the bias shift problem for these languages and discuss the capabilities of predicate invention as a bias shift operation.
    Type of Medium: Electronic Resource
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
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