메뉴 건너뛰기




Volumn 1572, Issue , 1999, Pages 111-125

Learning range restricted horn expressions

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

EID: 84947792618     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-49097-3_10     Document Type: Conference Paper
Times cited : (8)

References (34)
  • 1
    • 0000452640 scopus 로고
    • Learning conjunctions of Horn clauses
    • AFP92
    • AFP92. D. Angluin, M. Frazier, and L. Pitt. Learning conjunctions of Horn clauses. Machine Learning, 9: 147-164, 1992.
    • (1992) Machine Learning , vol.9 , pp. 147-164
    • Angluin, D.1    Frazier, M.2    Pitt, L.3
  • 3
    • 0000710299 scopus 로고
    • Queries and concept learning
    • Ang88
    • Ang88. D. Angluin. Queries and concept learning. Machine Learning, 2(4): 319-342, 1988.
    • (1988) Machine Learning , vol.2 , Issue.4 , pp. 319-342
    • Angluin, D.1
  • 5
    • 0004243841 scopus 로고
    • Elsevier, Amsterdam, Holland, CK90
    • CK90. C. Chang and J. Keisler. Model Theory. Elsevier, Amsterdam, Holland, 1990.
    • (1990) Model Theory
    • Chang, C.1    Keisler, J.2
  • 6
    • 0000450110 scopus 로고
    • PAC-learning recursive logic programs: Efficient algorithms
    • Coh95a
    • Coh95a. W. Cohen. PAC-learning recursive logic programs: Efficient algorithms. Journal of Artificial Intelligence Research, 2: 501-539, 1995.
    • (1995) Journal of Artificial Intelligence Research , vol.2 , pp. 501-539
    • Cohen, W.1
  • 7
    • 0000450112 scopus 로고
    • PAC-learning recursive logic programs: Negative result
    • Coh95b
    • Coh95b. W. Cohen. PAC-learning recursive logic programs: Negative result. Journal of Artificial Intelligence Research, 2: 541-573, 1995.
    • (1995) Journal of Artificial Intelligence Research , vol.2 , pp. 541-573
    • Cohen, W.1
  • 8
    • 0031198976 scopus 로고    scopus 로고
    • Logical settings for concept learning
    • See also relevant Errata. DR97
    • DR97. L. De Raedt. Logical settings for concept learning. Artificial Intelligence, 95(1): 187-201, 1997. See also relevant Errata.
    • (1997) Artificial Intelligence , vol.95 , Issue.1 , pp. 187-201
    • De Raedt, L.1
  • 9
    • 0011239804 scopus 로고
    • An overview of the interactive concept learner and theory revisor CLINT
    • S. Muggleton, editor, Academic Press, DRB92
    • DRB92. L. De Raedt and M. Bruynooghe. An overview of the interactive concept learner and theory revisor CLINT. In S. Muggleton, editor, Inductive Logic Programming. Academic Press, 1992.
    • (1992) Inductive Logic Programming
    • De Raedt, L.1    Bruynooghe, M.2
  • 10
    • 0028529173 scopus 로고
    • First order jk-clausal theories are PAC-learnable
    • DRD94
    • DRD94. L. De Raedt and S. Dzeroski. First order jk-clausal theories are PAC-learnable. Artificial Intelligence, 70: 375-392, 1994.
    • (1994) Artificial Intelligence , vol.70 , pp. 375-392
    • De Raedt, L.1    Dzeroski, S.2
  • 11
    • 85027108143 scopus 로고
    • Learning from entailment: An application to propo-sitional Horn sentences
    • Amherst, MA, Morgan Kaufmann. FP93
    • FP93. M. Frazier and L. Pitt. Learning from entailment: An application to propo-sitional Horn sentences. In Proceedings of the International Conference on Machine Learning, pages 120-127, Amherst, MA, 1993. Morgan Kaufmann.
    • (1993) Proceedings of the International Conference on Machine Learning , pp. 120-127
    • Frazier, M.1    Pitt, L.2
  • 12
    • 2542455833 scopus 로고
    • Learning conjunctive concepts in structural domains
    • Hau89
    • Hau89. D. Haussler. Learning conjunctive concepts in structural domains. Machine Learning, 4(1): 7-40, 1989.
    • (1989) Machine Learning , vol.4 , Issue.1 , pp. 7-40
    • Haussler, D.1
  • 14
    • 84947763436 scopus 로고    scopus 로고
    • Technical Report ECS-LFCS-98-394, Laboratory for Foundations of Computer Science, Edinburgh University, A preliminary version of this paper appeared in COLT 1998. Kha98
    • Kha98. R. Khardon. Learning function free Horn expressions. Technical Report ECS-LFCS-98-394, Laboratory for Foundations of Computer Science, Edinburgh University, 1998. A preliminary version of this paper appeared in COLT 1998.
    • (1998) Learning function free Horn expressions
    • Khardon, R.1
  • 15
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
    • Lit88
    • Lit88. N. Littlestone. Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2: 285-318, 1988.
    • (1988) Machine Learning , vol.2 , pp. 285-318
    • Littlestone, N.1
  • 17
    • 0342514647 scopus 로고
    • Machine invention of first order predicates by inverting resolution
    • S. Muggleton, editor, Academic Press, MB92
    • MB92. S. Muggleton and W. Buntine. Machine invention of first order predicates by inverting resolution. In S. Muggleton, editor, Inductive Logic Programming. Academic Press, 1992.
    • (1992) Inductive Logic Programming
    • Muggleton, S.1    Buntine, W.2
  • 18
    • 0028429573 scopus 로고
    • Inductive logic programming: Theory and methods
    • MDR94
    • MDR94. S. Muggleton and L. De Raedt. Inductive logic programming: Theory and methods. Journal of Logic Programming, 20: 629-679, 1994.
    • (1994) Journal of Logic Programming , vol.20 , pp. 629-679
    • Muggleton, S.1    De Raedt, L.2
  • 19
    • 0002304628 scopus 로고
    • Efficient induction of logic programs
    • S. Mug-gleton, editor, Academic Press, MF92
    • MF92. S. Muggleton and C. Feng. Efficient induction of logic programs. In S. Mug-gleton, editor, Inductive Logic Programming. Academic Press, 1992.
    • (1992) Inductive Logic Programming
    • Muggleton, S.1    Feng, C.2
  • 22
    • 0001602577 scopus 로고
    • A note on inductive generalization
    • B. Meltzer and D. Michie, editors,. American Elsevier, Plo70
    • Plo70. G. D. Plotkin. A note on inductive generalization. In B. Meltzer and D. Michie, editors, Machine Intelligence 5, pages 153-163. American Elsevier, 1970.
    • (1970) Machine Intelligence 5 , pp. 153-163
    • Plotkin, G.D.1
  • 24
    • 0002243461 scopus 로고
    • Extensions of inversion of resolution applied to theory completion
    • S. Muggleton, editor, Academic Press, Rou92
    • Rou92. C. Rouveirol. Extensions of inversion of resolution applied to theory completion. In S. Muggleton, editor, Inductive Logic Programming. Academic Press, 1992.
    • (1992) Inductive Logic Programming
    • Rouveirol, C.1
  • 26
    • 84856019798 scopus 로고    scopus 로고
    • Learning Horn definitions with equivalence and membership queries
    • Prague, Czech Republic, Springer. LNAI 1297. RT97
    • RT97. C. Reddy and P. Tadepalli. Learning Horn definitions with equivalence and membership queries. In International Workshop on Inductive Logic Programming, pages 243-255, Prague, Czech Republic, 1997. Springer. LNAI 1297.
    • (1997) International Workshop on Inductive Logic Programming , pp. 243-255
    • Reddy, C.1    Tadepalli, P.2
  • 27
    • 84947440776 scopus 로고    scopus 로고
    • Learning first order acyclic Horn programs from entailment
    • Madison, WI, Springer. LNAI 1446. RT98
    • RT98. C. Reddy and P. Tadepalli. Learning first order acyclic Horn programs from entailment. In International Conference on Inductive Logic Programming, pages 23-37, Madison, WI, 1998. Springer. LNAI 1446.
    • (1998) International Conference on Inductive Logic Programming , pp. 23-37
    • Reddy, C.1    Tadepalli, P.2
  • 28
    • 0008472635 scopus 로고    scopus 로고
    • Theory guided empirical speedup learning of goal decomposition rules
    • Bari, Italy, Morgan Kaufmann. RTR96
    • RTR96. C. Reddy, P. Tadepalli, and S. Roncagliolo. Theory guided empirical speedup learning of goal decomposition rules. In International Conference on Machine Learning, pages 409-416, Bari, Italy, 1996. Morgan Kaufmann.
    • (1996) International Conference on Machine Learning , pp. 409-416
    • Reddy, C.1    Tadepalli, P.2    Roncagliolo, S.3
  • 30
    • 0010220783 scopus 로고
    • Learning concepts by asking questions
    • R. Michalski, J. Carbonell, and T. Mitchell, editors, Morgan Kaufman, SB86
    • SB86. C. Sammut and R. Banerji. Learning concepts by asking questions. In R. Michalski, J. Carbonell, and T. Mitchell, editors, Machine Learning: An AI Approach, Volume II. Morgan Kaufman, 1986.
    • (1986) Machine Learning: An AI Approach, Volume II
    • Sammut, C.1    Banerji, R.2
  • 32
    • 0005318741 scopus 로고
    • Inductive inference of theories from facts
    • J. Lassez and G. Plotkin, editors,. MIT Press, Sha91
    • Sha91. E. Shapiro. Inductive inference of theories from facts. In J. Lassez and G. Plotkin, editors, Computational Logic, pages 199-254. MIT Press, 1991.
    • (1991) Computational Logic , pp. 199-254
    • Shapiro, E.1
  • 33
    • 0021518106 scopus 로고
    • A theory of the learnable
    • Val84
    • Val84. L. G. Valiant. A theory of the learnable. Communications of the ACM, 27(11): 1134-1142, 1984.
    • (1984) Communications of the ACM , vol.27 , Issue.11 , pp. 1134-1142
    • Valiant, L.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.