메뉴 건너뛰기




Volumn 109, Issue 1, 1999, Pages 211-242

Learning by discovering concept hierarchies

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BOOLEAN FUNCTIONS; COMPUTATIONAL COMPLEXITY; COMPUTER AIDED SOFTWARE ENGINEERING; HEURISTIC METHODS; PROBLEM SOLVING;

EID: 0033522717     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0004-3702(99)00008-9     Document Type: Article
Times cited : (63)

References (55)
  • 4
    • 0001952051 scopus 로고    scopus 로고
    • A management decision support system for allocating housing loans
    • P. Humphreys, L. Bannon, A. McCosh, P. Migliarese (Eds.), Chapman & Hall, London
    • M. Bohanec, B. Cestnik, V. Rajkovič, A management decision support system for allocating housing loans, in: P. Humphreys, L. Bannon, A. McCosh, P. Migliarese (Eds.), Implementing System for Supporting Management Decisions, Chapman & Hall, London, 1996, pp. 34-43.
    • (1996) Implementing System for Supporting Management Decisions , pp. 34-43
    • Bohanec, M.1    Cestnik, B.2    Rajkovič, V.3
  • 6
    • 0001661771 scopus 로고
    • DEX: An expert system shell for decision support
    • M. Bohanec, V. Rajkovič, DEX: An expert system shell for decision support, Sistemica 1 (1) (1990) 145-157.
    • (1990) Sistemica , vol.1 , Issue.1 , pp. 145-157
    • Bohanec, M.1    Rajkovič, V.2
  • 8
    • 0029326814 scopus 로고
    • Learning boolean read-once formulas over generalized bases
    • N.H. Bshouty, T.R. Hancock, L. Hellerstein, Learning boolean read-once formulas over generalized bases, J. Comput. System Sci. 50 (3) (1995) 521-542.
    • (1995) J. Comput. System Sci. , vol.50 , Issue.3 , pp. 521-542
    • Bshouty, N.H.1    Hancock, T.R.2    Hellerstein, L.3
  • 11
    • 84947940203 scopus 로고    scopus 로고
    • Constructing intermediate concepts by decomposition of real functions
    • M. van Someren, G. Widmer (Eds.), ECML-97, Prague, April 1997. Springer, Berlin
    • J. Demšar, B. Zupan, M. Bohanec, I. Bratko, Constructing intermediate concepts by decomposition of real functions, in: M. van Someren, G. Widmer (Eds.), Proceedings European Conference on Machine Learning, ECML-97, Prague, April 1997. Springer, Berlin, 1997, pp. 93-107.
    • (1997) Proceedings European Conference on Machine Learning , pp. 93-107
    • Demšar, J.1    Zupan, B.2    Bohanec, M.3    Bratko, I.4
  • 12
    • 0018480211 scopus 로고
    • Multiattribute decisionmaking using a fuzzy heuristic approach
    • J. Efstathiou, V. Rajkovič, Multiattribute decisionmaking using a fuzzy heuristic approach, IEEE Trans. Syst. Man Cybern. 9 (1979) 326-333.
    • (1979) IEEE Trans. Syst. Man Cybern. , vol.9 , pp. 326-333
    • Efstathiou, J.1    Rajkovič, V.2
  • 16
    • 0028495825 scopus 로고
    • Learning nonoverlaping perceptron networks from examples and membership queries
    • T.R. Hancock, M. Golea, M. Marchand, Learning nonoverlaping perceptron networks from examples and membership queries, Machine Learning 16 (3) (1994) 161-183.
    • (1994) Machine Learning , vol.16 , Issue.3 , pp. 161-183
    • Hancock, T.R.1    Golea, M.2    Marchand, M.3
  • 17
    • 84991254436 scopus 로고
    • Bottom-up induction of oblivious read-once decision graphs
    • F. Bergadano, L. De Raedt (Eds.), Springer, Berlin
    • R. Kohavi, Bottom-up induction of oblivious read-once decision graphs, in: F. Bergadano, L. De Raedt (Eds.), Proceedings European Conference on Machine Learning (ECML-94), Springer, Berlin, 1994, pp. 154-169.
    • (1994) Proceedings European Conference on Machine Learning (ECML-94) , pp. 154-169
    • Kohavi, R.1
  • 19
    • 0030735972 scopus 로고    scopus 로고
    • Overcoming the myopia of inductive learning algorithms with ReliefF
    • I. Kononenko, E. Šimec, M. Robnik Šikonja, Overcoming the myopia of inductive learning algorithms with ReliefF, Applied Intelligence J. 7 (1) (1997) 39-56.
    • (1997) Applied Intelligence J. , vol.7 , Issue.1 , pp. 39-56
    • Kononenko, I.1    Šimec, E.2    Šikonja, M.R.3
  • 21
    • 0027271156 scopus 로고
    • BDD-based decomposition of logic functions with application to FPGA synthesis
    • Y.-T. Lai, M. Pedram, S. Sastry, BDD-based decomposition of logic functions with application to FPGA synthesis, in: Proceedings 30th DAC, 1993, pp. 642-647.
    • (1993) Proceedings 30th DAC , pp. 642-647
    • Lai, Y.-T.1    Pedram, M.2    Sastry, S.3
  • 23
    • 0029539909 scopus 로고
    • A general approach to boolean function decomposition and its application in FPGA-based synthesis
    • T. Luba, H. Selvaraj, A general approach to boolean function decomposition and its application in FPGA-based synthesis, VLSI Design 3 (3-4) (1995) 289-300.
    • (1995) VLSI Design , vol.3 , Issue.3-4 , pp. 289-300
    • Luba, T.1    Selvaraj, H.2
  • 24
    • 0003046840 scopus 로고
    • A theory and methodology of inductive learning
    • R. Michalski, J. Carbonnel, T. Mitchell (Eds.), Morgan Kaufmann, Paolo Alto, CA
    • R.S. Michalski, A theory and methodology of inductive learning, in: R. Michalski, J. Carbonnel, T. Mitchell (Eds.), Machine Learning: An Artificial Intelligence Approach, Morgan Kaufmann, Paolo Alto, CA, 1983, pp. 83-134.
    • (1983) Machine Learning: An Artificial Intelligence Approach , pp. 83-134
    • Michalski, R.S.1
  • 25
    • 0002602497 scopus 로고
    • Understanding the nature of learning: Issues and research directions
    • R. Michalski, J. Carbonnel, T. Mitchell (Eds.), Morgan Kaufmann, Los Altos, CA
    • R.S. Michalski, Understanding the nature of learning: Issues and research directions, in: R. Michalski, J. Carbonnel, T. Mitchell (Eds.), Machine Learning: An Artificial Intelligence Approach, Morgan Kaufmann, Los Altos, CA, 1986, pp. 3-25.
    • (1986) Machine Learning: An Artificial Intelligence Approach , pp. 3-25
    • Michalski, R.S.1
  • 26
    • 84945291830 scopus 로고
    • Problem decomposition and the learning of skills
    • N. Lavrač, S. Wrobel (Eds.), Springer, Berlin
    • D. Michie, Problem decomposition and the learning of skills, in: N. Lavrač, S. Wrobel (Eds.), Machine Learning: ECML-95, Lecture Notes in Artificial Intelligence Vol. 912, Springer, Berlin, 1995, pp. 17-31.
    • (1995) Machine Learning: ECML-95, Lecture Notes in Artificial Intelligence , vol.912 , pp. 17-31
    • Michie, D.1
  • 27
    • 48849099371 scopus 로고
    • Learning of qualitative models
    • I. Bratko, N. Lavrač (Eds.), Sigma Press, Wilmslow, England
    • I. Mozetič, Learning of qualitative models, in: I. Bratko, N. Lavrač (Eds.), Progress in Machine Learning, Sigma Press, Wilmslow, England, 1987.
    • (1987) Progress in Machine Learning
    • Mozetič, I.1
  • 28
    • 0009346783 scopus 로고
    • The role of abstractions in learning of qualitative models
    • Irvine, CA, Morgan Kaufmann, Los Altos, CA
    • I. Mozetič, The role of abstractions in learning of qualitative models, in: Proceedings 4th Internat. Workshop on Machine Learning, Irvine, CA, Morgan Kaufmann, Los Altos, CA, 1987.
    • (1987) Proceedings 4th Internat. Workshop on Machine Learning
    • Mozetič, I.1
  • 29
    • 0009429227 scopus 로고
    • Structuring knowledge by asking questions
    • I. Bratko, N. Lavrač (Eds.), Sigma Press, Wilmslow, England
    • S. Muggleton, Structuring knowledge by asking questions, in: I. Bratko, N. Lavrač (Eds.), Progress in Machine Learning, Sigma Press, Wilmslow, England, 1987, pp. 218-229 .
    • (1987) Progress in Machine Learning , pp. 218-229
    • Muggleton, S.1
  • 31
    • 0003408496 scopus 로고
    • University of California, Department of Information and Computer Science, Irvine, CA
    • P.M. Murphy, D.W. Aha, UCI Repository of Machine Learning Databases, University of California, Department of Information and Computer Science, Irvine, CA, 1994. [http://www.ics.uci. edu/~mlearn/mlrepository.html] .
    • (1994) UCI Repository of Machine Learning Databases
    • Murphy, P.M.1    Aha, D.W.2
  • 32
    • 0002044093 scopus 로고    scopus 로고
    • Identifying hierarchical structure in sequences: A linear-time algorithm
    • C.G. Nevill-Manning, I.H. Witten, Identifying hierarchical structure in sequences: A linear-time algorithm, J. Artificial Intelligence Res. 7 (1997) 67-82.
    • (1997) J. Artificial Intelligence Res. , vol.7 , pp. 67-82
    • Nevill-Manning, C.G.1    Witten, I.H.2
  • 33
    • 0002687129 scopus 로고
    • An application for admission in public school systems
    • I.T.M. Snellen, W.B.H.J. van de Donk, J.-P. Baquiast (Eds.), Elsevier Science (North-Holland), Amsterdam
    • M. Olave, V. Rajkovič, M. Bohanec, An application for admission in public school systems, in: I.T.M. Snellen, W.B.H.J. van de Donk, J.-P. Baquiast (Eds.), Expert Systems in Public Administration, Elsevier Science (North-Holland), Amsterdam, 1989, pp. 145-160.
    • (1989) Expert Systems in Public Administration , pp. 145-160
    • Olave, M.1    Rajkovič, V.2    Bohanec, M.3
  • 34
    • 0009338016 scopus 로고
    • Automatic design of finite state machines with electronically programmable devices
    • Portland, OR
    • M. Perkowski, H. Uong, Automatic design of finite state machines with electronically programmable devices, in: Record of Northcon '87, Portland, OR, 1987, pp. 16/4.1-16/4.15.
    • (1987) Record of Northcon '87 , pp. 1641-16415
    • Perkowski, M.1    Uong, H.2
  • 35
    • 85011128600 scopus 로고
    • Controlling constructive induction in CiPF
    • F. Bergadano, L. De Raedt (Eds.), Springer, Berlin
    • B. Pfahringer, Controlling constructive induction in CiPF, in: F. Bergadano, L. De Raedt (Eds.), Proceedings European Conference on Machine Learning (ECML-94), Springer, Berlin, 1994, pp. 242-256.
    • (1994) Proceedings European Conference on Machine Learning (ECML-94) , pp. 242-256
    • Pfahringer, B.1
  • 37
    • 33744584654 scopus 로고
    • Induction of decision trees
    • R. Quinlan, Induction of decision trees, Machine Learning 1 (1) (1986) 81-106.
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, R.1
  • 38
    • 0002591462 scopus 로고
    • Lookahead feature construction for learning hard concepts
    • Morgan Kaufmann, San Mateo, CA
    • H. Ragavan, L. Rendell, Lookahead feature construction for learning hard concepts, in: Proceedings 10th Internat. Machine Learning Conference, Morgan Kaufmann, San Mateo, CA, 1993, pp. 252-259.
    • (1993) Proceedings 10th Internat. Machine Learning Conference , pp. 252-259
    • Ragavan, H.1    Rendell, L.2
  • 39
    • 0009406865 scopus 로고
    • Decision support by knowledge explanation
    • H.G. Sol, J. Vecsenyi (Eds.), Elsevier Science, Amsterdam
    • V. Rajkovič, M. Bohanec, Decision support by knowledge explanation, in: H.G. Sol, J. Vecsenyi (Eds.), Environments for Supporting Decision Process, Elsevier Science, Amsterdam, 1991.
    • (1991) Environments for Supporting Decision Process
    • Rajkovič, V.1    Bohanec, M.2
  • 41
    • 84990560021 scopus 로고
    • Tree-structured bias
    • St. Paul, MN, Morgan Kaufmann, San Mateo, CA
    • S.J. Russell, Tree-structured bias, in: Proceedings AAAI-88, St. Paul, MN, Morgan Kaufmann, San Mateo, CA, 1988, pp. 641-645.
    • (1988) Proceedings AAAI-88 , pp. 641-645
    • Russell, S.J.1
  • 42
    • 27144463192 scopus 로고    scopus 로고
    • On comparing classifiers: Pitfalls to avoid and a recommended approach
    • S.L. Salzberg, On comparing classifiers: Pitfalls to avoid and a recommended approach, Data Mining and Knowledge Discovery 1 (1997) 317-328.
    • (1997) Data Mining and Knowledge Discovery , vol.1 , pp. 317-328
    • Salzberg, S.L.1
  • 43
    • 0001201756 scopus 로고
    • Some studies in machine learning using the game of checkers
    • A. Samuel, Some studies in machine learning using the game of checkers, IBM J. Res. Develop. 3 (1959) 221-229.
    • (1959) IBM J. Res. Develop. , vol.3 , pp. 221-229
    • Samuel, A.1
  • 44
    • 0001201757 scopus 로고
    • Some studies in machine learning using the game of checkers II: Recent progress
    • A. Samuel, Some studies in machine learning using the game of checkers II: Recent progress, IBM J. Res. Develop. 11 (1967) 601-617.
    • (1967) IBM J. Res. Develop. , vol.11 , pp. 601-617
    • Samuel, A.1
  • 46
    • 0009339920 scopus 로고
    • Automatic induction of classification rules for a chess endgame
    • M.R.B. Clarke (Ed.), Pergamon, Oxford
    • A.D. Shapiro, T. Niblett, Automatic induction of classification rules for a chess endgame, in: M.R.B. Clarke (Ed.), Advances in Computer Chess 3, Pergamon, Oxford, 1982, pp. 73-92.
    • (1982) Advances in Computer Chess , vol.3 , pp. 73-92
    • Shapiro, A.D.1    Niblett, T.2
  • 48
    • 85031616647 scopus 로고    scopus 로고
    • Learning from examples and membership queries with structured determinations
    • to appear
    • P. Tadepalli, S. Russell, Learning from examples and membership queries with structured determinations, Machine Learning, to appear.
    • Machine Learning
    • Tadepalli, P.1    Russell, S.2
  • 50
    • 0026971476 scopus 로고
    • A new approach to the decomposition of incompletely specified functions based on graph-coloring and local transformations and its application to FPGA mapping
    • Hamburg
    • W. Wan, M.A. Perkowski, A new approach to the decomposition of incompletely specified functions based on graph-coloring and local transformations and its application to FPGA mapping, in: Proceedings IEEE EURO-DAC-'92, Hamburg, 1992, pp. 230-235.
    • (1992) Proceedings IEEE EURO-DAC-'92 , pp. 230-235
    • Wan, W.1    Perkowski, M.A.2
  • 51
    • 0002076006 scopus 로고
    • An upper bound on the chromatic number of a graph and its application to timetabling problems
    • D.J.A. Welsh, M.B. Powell, An upper bound on the chromatic number of a graph and its application to timetabling problems, Computer J. 10 (1967) 85-86.
    • (1967) Computer J. , vol.10 , pp. 85-86
    • Welsh, D.J.A.1    Powell, M.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.