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Volumn 1297, Issue , 1997, Pages 235-242

Probabilistic first-order classification

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EID: 84957871101     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3540635149_52     Document Type: Conference Paper
Times cited : (3)

References (13)
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  • 3
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    • Dolšak, B.1    Muggleton, S.2
  • 4
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    • Beyond independence: Conditions for the optimality of the simple Bayesian classifier
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    • (1996) Proceedings of the Thirteenth International Conference on Machine Learning , pp. 105-112
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  • 5
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    • Master's thesis, University of Ljubljana, Faculty of electrical engineering and computer science, Ljubljana, Slovenia. [Džeroski 1991]
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    • Semi-naive Bayesian classifier
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    • Kononenko, I.1
  • 7
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    • Overcoming the myopia of inductive learning algorithms with Relieff
    • [Kononenko, Šimee, and Robnik 1996]
    • [Kononenko, Šimee, and Robnik 1996] Kononenko, I., E. Šimec, and M. Robnik (1996). Overcoming the myopia of inductive learning algorithms with Relieff. Journal of Applied Intelligence.
    • (1996) Journal of Applied Intelligence.
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  • 8
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    • (Second ed.). Berlin, Germany: Springer Verlag. [Lloyd 1987]
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  • 9
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    • Stochastic logic programs
    • L. De Raedt (Ed.), Amsterdam, Netherlands: IOS Press. [Muggleton 1996]
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    • (1996) Advances in Inductive Logic Programming , pp. 254-264
    • Muggleton, S.1
  • 11
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    • Linear space induction in first order logic with Relief
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    • [Pompe and Kononenko 1995a] Pompe, U. and I. Kononenko (1995a). Linear space induction in first order logic with Relief. In R. Kruse, R. Viertl, and G. Della Riccia (Eds.), CISM Lecture notes. Udine, Italy: Springer Verlag.
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    • Learning first-order definitions of functions
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    • Quinlan, J.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.