메뉴 건너뛰기




Volumn 12, Issue 4, 1997, Pages 341-367

A review of machine learning

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE SYSTEMS; FORMAL LOGIC; KNOWLEDGE ACQUISITION;

EID: 0031341812     PISSN: 02698889     EISSN: None     Source Type: Journal    
DOI: 10.1017/S026988899700101X     Document Type: Review
Times cited : (64)

References (197)
  • 2
    • 0000217085 scopus 로고
    • Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms
    • Aha, D, 1992. "Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms". International Journal of Man-Machine Studies 36(2) 267-287.
    • (1992) International Journal of Man-Machine Studies , vol.36 , Issue.2 , pp. 267-287
    • Aha, D.1
  • 3
    • 0020815483 scopus 로고
    • Inductive inference: Theory and methods
    • Angluin, D and Smith, C, 1983. "Inductive inference: theory and methods". ACM Computing Surveys 15(3) 237-270.
    • (1983) ACM Computing Surveys , vol.15 , Issue.3 , pp. 237-270
    • Angluin, D.1    Smith, C.2
  • 6
    • 0041501147 scopus 로고
    • PROTOS: An exemplar-based learning apprentice
    • Kodratoff, Y and Michalski, R, eds., Morgan-Kaufmann
    • Bareiss, E, Porter, B and Weir, C, 1990. "PROTOS: an exemplar-based learning apprentice". In: Kodratoff, Y and Michalski, R, eds., Machine Learning: An AI Approach, vol. 3. Morgan-Kaufmann.
    • (1990) Machine Learning: An AI Approach , vol.3
    • Bareiss, E.1    Porter, B.2    Weir, C.3
  • 7
    • 0010910030 scopus 로고
    • Monotonicity maintenance in information theoretic machine learning algorithms
    • Ben-David, A, 1995. "Monotonicity maintenance in information theoretic machine learning algorithms". Machine Learning Journal 19 29-43.
    • (1995) Machine Learning Journal , vol.19 , pp. 29-43
    • Ben-David, A.1
  • 8
    • 0025920332 scopus 로고
    • Incremental learning from examples using HC-expressions
    • Bhandaru, M and Murty, M, 1991. "Incremental learning from examples using HC-expressions". Pattern Recognition 24(4) 273-282.
    • (1991) Pattern Recognition , vol.24 , Issue.4 , pp. 273-282
    • Bhandaru, M.1    Murty, M.2
  • 10
    • 9944252422 scopus 로고
    • Constraining search in a hierarchical discriminative learning system
    • Blythe, J, 1988. "Constraining search in a hierarchical discriminative learning system". Proceedings ECAI88, European Conference on AI 378-383.
    • (1988) Proceedings ECAI88, European Conference on AI , pp. 378-383
    • Blythe, J.1
  • 11
    • 0028443644 scopus 로고
    • Trading accuracy for simplicity in decision trees
    • Bohanec, M and Bratko, I, 1994. "Trading accuracy for simplicity in decision trees". Machine Learning Journal 15(3) 223-250.
    • (1994) Machine Learning Journal , vol.15 , Issue.3 , pp. 223-250
    • Bohanec, M.1    Bratko, I.2
  • 13
    • 84935243075 scopus 로고
    • Myths and legends in learning classification rules
    • AAAI/MIT Press
    • Buntine, W, 1990. "Myths and legends in learning classification rules". Proceedings 8th National Conference on AI, vol. 2, 736-742, AAAI/MIT Press.
    • (1990) Proceedings 8th National Conference on AI , vol.2 , pp. 736-742
    • Buntine, W.1
  • 14
    • 0002546079 scopus 로고
    • Attribute oriented induction in relational databases
    • Patetsky-Shapiro, G and Frawley, W, eds., AAAI/MIT Press
    • Cai, Y, Cercone, N and Han, J, 1991. "Attribute oriented induction in relational databases". In: Patetsky-Shapiro, G and Frawley, W, eds., Knowledge Discovery in Databases, 213-228. AAAI/MIT Press.
    • (1991) Knowledge Discovery in Databases , pp. 213-228
    • Cai, Y.1    Cercone, N.2    Han, J.3
  • 15
    • 0004239919 scopus 로고
    • Efficient top-down induction of logic programs
    • Cameron-Jones, R and Quinlan, J, 1994. "Efficient top-down induction of logic programs". SIGART Bulletin 5(1) 33-42.
    • (1994) SIGART Bulletin , vol.5 , Issue.1 , pp. 33-42
    • Cameron-Jones, R.1    Quinlan, J.2
  • 16
    • 0006895591 scopus 로고
    • An overview of machine learning
    • Michalski, R, Carbonell, J and Mitchell, T, eds., Morgan-Kaufmann
    • Carbonell, J, Michalski, R and Mitchell, T, 1983. "An overview of machine learning", In: Michalski, R, Carbonell, J and Mitchell, T, eds., Machine Learning: An AI Approach, Morgan-Kaufmann.
    • (1983) Machine Learning: An AI Approach
    • Carbonell, J.1    Michalski, R.2    Mitchell, T.3
  • 17
    • 0040032416 scopus 로고
    • Introduction: Paradigms for machine learning
    • Carbonell, J, 1989. "Introduction: paradigms for machine learning". Artificial Intelligence 40(1-3) 1-9.
    • (1989) Artificial Intelligence , vol.40 , Issue.1-3 , pp. 1-9
    • Carbonell, J.1
  • 21
    • 0007512578 scopus 로고
    • Truncating temporal differences: On the efficient implementation of TD(λ) for reinforcement learning
    • Cichosz, P, 1995. "Truncating temporal differences: on the efficient implementation of TD(λ) for reinforcement learning". Journal of AI Research 2 287-318.
    • (1995) Journal of AI Research , vol.2 , pp. 287-318
    • Cichosz, P.1
  • 22
    • 0026837224 scopus 로고
    • A machine learning method for generation of a neural network architecture: A continuous ID3 algorithm
    • Cios, K and Liu, N, 1992. "A machine learning method for generation of a neural network architecture: a continuous ID3 algorithm". IEEE Transactions on Neural Networks 3(2) 280-290.
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.2 , pp. 280-290
    • Cios, K.1    Liu, N.2
  • 25
    • 85025862340 scopus 로고
    • A new incremental learning technique for decision trees with thresholds
    • SPIE, International Society For Optical Engineering
    • Cockett, J and Zhu, Y, 1989. "A new incremental learning technique for decision trees with thresholds". Applications Of Artificial Intelligence 7, SPIE, International Society For Optical Engineering, vol. 1095, no. 2.
    • (1989) Applications of Artificial Intelligence 7 , vol.1095 , Issue.2
    • Cockett, J.1    Zhu, Y.2
  • 26
    • 9944254706 scopus 로고
    • JITTER: A Lazy machine's guide to induction
    • Department of Computation, UMIST, PO BOX 88, Manchester M60 1QD, UK
    • Conroy, G and Dutton, D, 1994. "JITTER: a Lazy machine's guide to induction". Technical Report, UMIST-COM-AI-94-4, Department of Computation, UMIST, PO BOX 88, Manchester M60 1QD, UK.
    • (1994) Technical Report, UMIST-COM-AI-94-4
    • Conroy, G.1    Dutton, D.2
  • 27
    • 84948975138 scopus 로고
    • The effects of noise on efficient incremental induction
    • Lavrac, N and Wrobel, S, eds., Lecture Notes in AI Series, Springer Verlag
    • Conroy, G and Dutton, D, 1995. "The effects of noise on efficient incremental induction (extended abstract). In: Lavrac, N and Wrobel, S, eds., Machine Learning: ECML-95, Proceedings 8th European Conference on Machine Learning 275-278. Lecture Notes in AI Series, Springer Verlag.
    • (1995) Machine Learning: ECML-95, Proceedings 8th European Conference on Machine Learning , pp. 275-278
    • Conroy, G.1    Dutton, D.2
  • 30
  • 32
    • 9944259868 scopus 로고
    • Incremental classification: A multidisciplinary viewpoint
    • Diday, E and Lechevallier, Y, eds., Nova Science
    • Decaestecker, C, 1991. "Incremental classification: a multidisciplinary viewpoint". Proceedings Conference on Symbolic-Numeric Data Analysis and Learning, Diday, E and Lechevallier, Y, eds., Nova Science, 283-295.
    • (1991) Proceedings Conference on Symbolic-Numeric Data Analysis and Learning , pp. 283-295
    • Decaestecker, C.1
  • 33
    • 0002032320 scopus 로고
    • A comparative review of selected methods for learning from examples
    • Michalski, R, Carbonell, J and Mitchell, T, eds., Morgan-Kaufmann
    • Dietterich, T and Michalski, R, 1983. "A comparative review of selected methods for learning from examples". In: Machine Learning: An AI Approach, Michalski, R, Carbonell, J and Mitchell, T, eds., vol. 1, Morgan-Kaufmann, 41-81.
    • (1983) Machine Learning: An AI Approach , vol.1 , pp. 41-81
    • Dietterich, T.1    Michalski, R.2
  • 34
    • 0004671957 scopus 로고
    • Learning at the knowledge level
    • Dietterich, T, 1986. "Learning at the knowledge level". Machine Learning Journal 1 287-316.
    • (1986) Machine Learning Journal , vol.1 , pp. 287-316
    • Dietterich, T.1
  • 35
    • 0028531932 scopus 로고
    • Rule induction - Machine learning techniques
    • October
    • Donald, JH, 1994. "Rule induction - Machine learning techniques". Computing and Control Engineering Journal 5(5) October, 249-255.
    • (1994) Computing and Control Engineering Journal , vol.5 , Issue.5 , pp. 249-255
    • Donald, J.H.1
  • 36
    • 0009873685 scopus 로고
    • Representing and restructuring domain theories: A constructive induction approach
    • Donoho, P and Rendell, L, 1995. "Representing and restructuring domain theories: a constructive induction approach". Journal of AI Research 2 411-446.
    • (1995) Journal of AI Research , vol.2 , pp. 411-446
    • Donoho, P.1    Rendell, L.2
  • 42
    • 0027002165 scopus 로고
    • The attribute selection problem in decision tree generation
    • AAAI/MIT Press
    • Fayyad, U and Irani, K, 1992. "The attribute selection problem in decision tree generation". Proceedings 10th International Conference on AI, vol 1, AAAI/MIT Press, 104-10.
    • (1992) Proceedings 10th International Conference on AI , vol.1 , pp. 104-110
    • Fayyad, U.1    Irani, K.2
  • 45
    • 2842560201 scopus 로고
    • STRIPS: A new approach to the application of theorem proving to problem solving
    • Fikes, R and Nilsson, N, 1971. "STRIPS: a new approach to the application of theorem proving to problem solving". Artificial Intelligence 2 189-208.
    • (1971) Artificial Intelligence , vol.2 , pp. 189-208
    • Fikes, R.1    Nilsson, N.2
  • 47
    • 9944225158 scopus 로고
    • Knowledge acquisition via incremental conceptual clustering
    • Fisher, DH, 1987b. "Knowledge acquisition via incremental conceptual clustering". Machine Learning Journal 2139-172.
    • (1987) Machine Learning Journal , pp. 2139-2172
    • Fisher, D.H.1
  • 51
    • 59549100579 scopus 로고
    • An integrated characterisation and discrimination scheme to improve learning efficiency in large data sets
    • Sridharan, N ed., Morgan-Kaufmann
    • Gemello, R and Mana, F, 1989. "An integrated characterisation and discrimination scheme to improve learning efficiency in large data sets". Proceedings 11th International Joint Conference on AI, Sridharan, N ed., vol 1, Morgan-Kaufmann.
    • (1989) Proceedings 11th International Joint Conference on AI , vol.1
    • Gemello, R.1    Mana, F.2
  • 54
    • 84990580502 scopus 로고
    • Quantifying the inductive bias in concept learning
    • Morgan-Kaufmann
    • Haussler, D, 1986. "Quantifying the inductive bias in concept learning". Proceedings 5th National Conference on AI 485-489, Morgan-Kaufmann.
    • (1986) Proceedings 5th National Conference on AI , pp. 485-489
    • Haussler, D.1
  • 55
    • 0001068115 scopus 로고
    • Automatic interaction detection
    • Hawkins, D (ed.), Cambridge University Press
    • Hawkins, D and Kass, G, 1982. "Automatic interaction detection". In: Topics in Applied Multivariate Analysis. Hawkins, D (ed.), 269-302. Cambridge University Press.
    • (1982) Topics in Applied Multivariate Analysis , pp. 269-302
    • Hawkins, D.1    Kass, G.2
  • 56
    • 0009438133 scopus 로고
    • Preface to the special issue on connectionist Symbol Processing
    • Hinton, G, 1990. "Preface to the special issue on connectionist Symbol Processing, Artificial Intelligence, 46(1-4) 1-4.
    • (1990) Artificial Intelligence , vol.46 , Issue.1-4 , pp. 1-4
    • Hinton, G.1
  • 58
    • 0003901315 scopus 로고
    • Data Mining - The Search for Knowledge in Databases
    • CWI, PO BOX 94079,1090 GB Amsterdam, Netherlands
    • Holsheimer, A and Siebes, A, 1994. "Data Mining - The Search For Knowledge in Databases". Technical Report CS-R9406, CWI, PO BOX 94079,1090 GB Amsterdam, Netherlands.
    • (1994) Technical Report CS-R9406
    • Holsheimer, A.1    Siebes, A.2
  • 59
    • 9944220090 scopus 로고
    • Alternative information structures in incremental learning systems
    • Kodratoff, Y and Hutchinson, A (eds.), Kogan Page
    • Holte, R, 1989. "Alternative information structures in incremental learning systems, In: Machine and Human Learning - Advances in European Research, Kodratoff, Y and Hutchinson, A (eds.), 121-142. Kogan Page.
    • (1989) Machine and Human Learning - Advances in European Research , pp. 121-142
    • Holte, R.1
  • 60
    • 0001815269 scopus 로고
    • Constructing optimal binary decision trees is NP-complete
    • Hyafil, L and Rivest, R, 1976. "Constructing optimal binary decision trees is NP-complete". Information Processing Letters 5(1) 15-17.
    • (1976) Information Processing Letters , vol.5 , Issue.1 , pp. 15-17
    • Hyafil, L.1    Rivest, R.2
  • 62
    • 84971946292 scopus 로고
    • Principles of induction and approaches to attribute based induction
    • Kalkanis, G and Conroy, G, 1991. "Principles of induction and approaches to attribute based induction". The Knowledge Engineering Review 6(4) 307-333.
    • (1991) The Knowledge Engineering Review , vol.6 , Issue.4 , pp. 307-333
    • Kalkanis, G.1    Conroy, G.2
  • 66
    • 9944265057 scopus 로고
    • Learning representative exemplars of concepts: An initial case study
    • Readings in Machine Learning Shavlik, J and Dietterich, T (eds.). Morgan-Kaufmann
    • Kibler, D and Aha, D, 1990. "Learning representative exemplars of concepts: an initial case study". In: Readings in Machine Learning Shavlik, J and Dietterich, T (eds.). (Originally 5th Int. Workshop on Machine Learning.) Morgan-Kaufmann.
    • (1990) 5th Int. Workshop on Machine Learning
    • Kibler, D.1    Aha, D.2
  • 72
    • 0025803268 scopus 로고
    • Information-based evaluation criterion for classifier's performance
    • Kononenko, I and Bratko, I, 1991. "Information-based evaluation criterion for classifier's performance". Machine Learning Journal 6(1) 67-80.
    • (1991) Machine Learning Journal , vol.6 , Issue.1 , pp. 67-80
    • Kononenko, I.1    Bratko, I.2
  • 76
    • 0000166613 scopus 로고
    • Experiments with incremental concept formation: UNIMEM
    • Lebowitz, M, 1987. "Experiments with incremental concept formation: UNIMEM". Machine Learning Journal 2(2) 103-138.
    • (1987) Machine Learning Journal , vol.2 , Issue.2 , pp. 103-138
    • Lebowitz, M.1
  • 78
    • 0020191924 scopus 로고
    • The nature of heuristics
    • Lenat, D, 1982. "The nature of heuristics". Artificial Intelligence 19(2) 189-249.
    • (1982) Artificial Intelligence , vol.19 , Issue.2 , pp. 189-249
    • Lenat, D.1
  • 79
    • 0001689415 scopus 로고
    • The role of heuristics in learning by discovery: Three case studies
    • Michalski, R, Carbonell, J and Mitchell, T (eds.), Morgan-Kaufmann
    • Lenat, D, 1983. "The role of heuristics in learning by discovery: three case studies". In: Machine Learning: An AI Approach, Michalski, R, Carbonell, J and Mitchell, T (eds.), vol I, 243-306. Morgan-Kaufmann.
    • (1983) Machine Learning: An AI Approach , vol.1 , pp. 243-306
    • Lenat, D.1
  • 80
    • 0025798330 scopus 로고
    • A distance-based attribute selection measure for decision tree induction
    • Lopez de Mantaras, R, 1991. "A distance-based attribute selection measure for decision tree induction". Machine Learning Journal 6(1).
    • (1991) Machine Learning Journal , vol.6 , Issue.1
    • Lopez De Mantaras, R.1
  • 81
    • 0346846723 scopus 로고
    • Induction of decision trees from complex structured data
    • Piatetsky-Shapiro, G and Frawley, W (eds.), AAAI/MIT Press
    • Manago, M and Kodratoff, Y, 1991. "Induction of decision trees from complex structured data". In: Knowledge Discovery in Databases Piatetsky-Shapiro, G and Frawley, W (eds.), 289-306. AAAI/MIT Press.
    • (1991) Knowledge Discovery in Databases , pp. 289-306
    • Manago, M.1    Kodratoff, Y.2
  • 84
    • 0001161341 scopus 로고
    • Learning by being told and learning from examples: An experimental comparison of the two methods of knowledge acquisition in the context of developing an expert system for soybean disease diagnosis
    • Michalski, RS and Chilausky, RL, 1980. "Learning by being told and learning from examples: an experimental comparison of the two methods of knowledge acquisition in the context of developing an expert system for soybean disease diagnosis". International Journal of Policy Analysis and Information Systems 4(2) 125-161.
    • (1980) International Journal of Policy Analysis and Information Systems , vol.4 , Issue.2 , pp. 125-161
    • Michalski, R.S.1    Chilausky, R.L.2
  • 86
    • 0003046842 scopus 로고
    • Learning from observation: Conceptual clustering
    • Michalski, R., Carbonell, J and Mitchell, T (eds.), Morgan-Kaufmann
    • Michalski, RS and Stepp, RE, 1983. "Learning from observation: conceptual clustering". In: Machine Learning: An AI Approach, Michalski, R., Carbonell, J and Mitchell, T (eds.), vol 1. Morgan-Kaufmann.
    • (1983) Machine Learning: An AI Approach , vol.1
    • Michalski, R.S.1    Stepp, R.E.2
  • 88
    • 0003046840 scopus 로고
    • A theory and methodology of inductive learning
    • Michalski, R, Carbonell, J and Mitchell, T (eds.), Morgan-Kaufmann
    • Michalski, RS, 1983. "A theory and methodology of inductive learning". In: Machine Learning: An AI Approach Michalski, R, Carbonell, J and Mitchell, T (eds.), vol 1. Morgan-Kaufmann.
    • (1983) Machine Learning: An AI Approach , vol.1
    • Michalski, R.S.1
  • 89
    • 85005299854 scopus 로고
    • The multi-purpose incremental learning system AQ15 and its testing application to three medical domains
    • Morgan-Kaufmann
    • Michalski, RS, Mozetic, I, Hong, J and Lavrac, N, 1986a. "The multi-purpose incremental learning system AQ15 and its testing application to three medical domains". Proceedings 5th National Conference on AI 1041-1045. Morgan-Kaufmann.
    • (1986) Proceedings 5th National Conference on AI , pp. 1041-1045
    • Michalski, R.S.1    Mozetic, I.2    Hong, J.3    Lavrac, N.4
  • 91
    • 0002602497 scopus 로고
    • Understanding the nature of learning
    • Michalski, R, Carbonell, J and Mitchell, T (eds.), Morgan-Kaufmann
    • Michalski, R, 1986. "Understanding the nature of learning". In: Machine Learning: An AI Approach Michalski, R, Carbonell, J and Mitchell, T (eds.), vol 2. Morgan-Kaufmann.
    • (1986) Machine Learning: An AI Approach , vol.2
    • Michalski, R.1
  • 92
    • 0039093111 scopus 로고
    • Learning flexible concepts
    • Kodratoff, Y and Michalski, R (eds.). Morgan-Kaufmann
    • Michalski, R, 1990. "Learning flexible concepts". In: Machine Learning: An AI Approach vol 3. Kodratoff, Y and Michalski, R (eds.). Morgan-Kaufmann.
    • (1990) Machine Learning: An AI Approach , vol.3
    • Michalski, R.1
  • 94
    • 0003262526 scopus 로고
    • Inferential theory of learning
    • Michalski, R and Tecuci, G (eds.), Morgan-Kaufmann
    • Michalski, R, 1994. "Inferential theory of learning". In: Machine Learning: A Multistrategy Approach Michalski, R and Tecuci, G (eds.), vol 4. Morgan-Kaufmann.
    • (1994) Machine Learning: A Multistrategy Approach , vol.4
    • Michalski, R.1
  • 95
    • 0000076506 scopus 로고
    • An empirical comparison of selection measures for decision tree induction
    • Mingers, J, 1989. "An empirical comparison of selection measures for decision tree induction". Machine Learning Journal 3319-342.
    • (1989) Machine Learning Journal , pp. 3319-3342
    • Mingers, J.1
  • 98
    • 0000531852 scopus 로고
    • Generalisation as search
    • Mitchell, T, 1982. "Generalisation as search". Artificial Intelligence 18 203-226.
    • (1982) Artificial Intelligence , vol.18 , pp. 203-226
    • Mitchell, T.1
  • 99
    • 0001770133 scopus 로고
    • Learning by experimentation: Acquiring and refining problem-solving heuristics
    • Michalski, R, Carbonell, J and Mitchell, T (eds.), Morgan-Kaufmann
    • Mitchell, T, Utgoff, P and Banerji, R, 1983. "Learning by experimentation: acquiring and refining problem-solving heuristics". In: Machine Learning: An AI Approach Michalski, R, Carbonell, J and Mitchell, T (eds.), vol 1. Morgan-Kaufmann.
    • (1983) Machine Learning: An AI Approach , vol.1
    • Mitchell, T.1    Utgoff, P.2    Banerji, R.3
  • 100
    • 9944261968 scopus 로고
    • Explanation-based generalisation: A unifying view
    • Shavlik, J and Dietterich, T (eds.). Morgan-Kaufmann
    • Mitchell, T, Keller, R and Kedar-Cabelli, S, 1990. "Explanation-based generalisation: a unifying view". In: Readings in Machine Learning Shavlik, J and Dietterich, T (eds.). Morgan-Kaufmann.
    • (1990) Readings in Machine Learning
    • Mitchell, T.1    Keller, R.2    Kedar-Cabelli, S.3
  • 101
    • 0009429227 scopus 로고
    • Structuring knowledge by asking questions
    • Bratko, I and Lavrac, N (eds.), Sigma Press
    • Muggleton, S. 1987. "Structuring knowledge by asking questions". In: Progress in Machine Learning Bratko, I and Lavrac, N (eds.), 218-229. Sigma Press.
    • (1987) Progress in Machine Learning , pp. 218-229
    • Muggleton, S.1
  • 103
    • 84957053329 scopus 로고
    • Machine invention of first-order predicates by inverting resolution
    • Ann Arbor, MI, Morgan-Kaufmann
    • Muggleton, S and Buntine, W, 1988. "Machine invention of first-order predicates by inverting resolution". Proceedings 5th International Conference on Machine Learning Ann Arbor, MI, 339-352. Morgan-Kaufmann.
    • (1988) Proceedings 5th International Conference on Machine Learning , pp. 339-352
    • Muggleton, S.1    Buntine, W.2
  • 105
    • 0003156949 scopus 로고
    • Inductive logic programming: Derivations, successes and shortcomings
    • Muggleton, S, 1994. "Inductive logic programming: derivations, successes and shortcomings". SIGART Bulletin 5(1) 5-11.
    • (1994) SIGART Bulletin , vol.5 , Issue.1 , pp. 5-11
    • Muggleton, S.1
  • 106
    • 0027652495 scopus 로고
    • Exploring the decision forest: An empirical investigation of Occam's razor in decision tree induction
    • Murphy, P and Pazzani, M, 1994. "Exploring the decision forest: an empirical investigation of Occam's razor in decision tree induction". Journal of AI Research 1 257-275.
    • (1994) Journal of AI Research , vol.1 , pp. 257-275
    • Murphy, P.1    Pazzani, M.2
  • 107
  • 114
    • 0026154832 scopus 로고
    • The use of background knowledge in decision tree induction
    • Núñez, M, 1991. "The use of background knowledge in decision tree induction". Machine Learning Journal 6(3) 231-250.
    • (1991) Machine Learning Journal , vol.6 , Issue.3 , pp. 231-250
    • Núñez, M.1
  • 115
    • 0346846705 scopus 로고
    • Two algorithms that learn DNF by discovering relevant features
    • Segre, A (ed.)
    • Pagallo, G and Haussler, D, 1989. "Two algorithms that learn DNF by discovering relevant features". In: 6th International Workshop on Machine Learning Segre, A (ed.), 119-123.
    • (1989) 6th International Workshop on Machine Learning , pp. 119-123
    • Pagallo, G.1    Haussler, D.2
  • 118
    • 0002442571 scopus 로고
    • Discovering rules by induction from large collections of examples
    • Michie, D (ed.). Edinburgh University Press
    • Quinlan, J, 1979. "Discovering rules by induction from large collections of examples". In: Expert Systems in the Micro-Electronic Age, Michie, D (ed.). Edinburgh University Press.
    • (1979) Expert Systems in the Micro-Electronic Age
    • Quinlan, J.1
  • 119
    • 0001857179 scopus 로고
    • Learning efficient classification procedures and their application to chess end games
    • Michalski, R, Carbonell, J and Mitchell, T (eds.), Morgan-Kaufmann
    • Quinlan, J, 1983. "Learning efficient classification procedures and their application to chess end games". In: Machine Learning: An Artificial Intelligence Approach Michalski, R, Carbonell, J and Mitchell, T (eds.), vol 1, 463-482. Morgan-Kaufmann.
    • (1983) Machine Learning: An Artificial Intelligence Approach , vol.1 , pp. 463-482
    • Quinlan, J.1
  • 121
    • 0001182408 scopus 로고
    • The effect of noise on concept learning
    • Michalski, R, Carbonell, J and Mitchell, T (eds.). Morgan-Kaufmann
    • Quinlan, J, 1986b. "The effect of noise on concept learning". In: Machine Learning: An AI Approach vol 2, Michalski, R, Carbonell, J and Mitchell, T (eds.). Morgan-Kaufmann.
    • (1986) Machine Learning: An AI Approach , vol.2
    • Quinlan, J.1
  • 124
    • 85027178264 scopus 로고
    • Generating production rules from decision trees
    • McDermott, J (ed.), Morgan-Kaufmann
    • Quinlan, J, 1987c. "Generating production rules from decision trees". In: Proceedings 10th International Joint Conference on AI McDermott, J (ed.), 304-307, Morgan-Kaufmann.
    • (1987) Proceedings 10th International Joint Conference on AI , pp. 304-307
    • Quinlan, J.1
  • 125
    • 0000600410 scopus 로고
    • Decision trees and multi-valued attributes
    • Hayes, J, Michie, D and Richards, J (eds.), Clarendon Press
    • Quinlan, J, 1988a. "Decision trees and multi-valued attributes". In: Machine Intelligence 11: Logic and the Acquisition of Knowledge Hayes, J, Michie, D and Richards, J (eds.), 305-318. Clarendon Press.
    • (1988) Machine Intelligence 11: Logic and the Acquisition of Knowledge , pp. 305-318
    • Quinlan, J.1
  • 126
  • 127
    • 0024627518 scopus 로고
    • Inferring decision trees using the minimum description length principle
    • Quinlan, J and Rivest, R, 1989. "Inferring decision trees using the minimum description length principle". Information and Computation 80 227-248.
    • (1989) Information and Computation , vol.80 , pp. 227-248
    • Quinlan, J.1    Rivest, R.2
  • 128
    • 0001172265 scopus 로고
    • Learning logical definitions from relations
    • Quinlan, J, 1990a. "Learning logical definitions from relations". Machine Learning Journal 15(3) 239-266.
    • (1990) Machine Learning Journal , vol.15 , Issue.3 , pp. 239-266
    • Quinlan, J.1
  • 129
    • 0001286553 scopus 로고
    • Probabilistic decision trees
    • Kodratoff, Y and Michalski, R (eds.). Morgan-Kaufmann
    • Quinlan, J, 1990b. "Probabilistic decision trees". In: Machine Learning: An AI Approach vol 3, Kodratoff, Y and Michalski, R (eds.). Morgan-Kaufmann.
    • (1990) Machine Learning: An AI Approach , vol.3
    • Quinlan, J.1
  • 133
    • 0006033840 scopus 로고
    • Incremental learning of concept descriptions: A method and experimental results
    • Hayes, J, Michie, D and Richards, J (eds.), Clarendon Press
    • Reinke, R and Michalski, R, 1988. "Incremental learning of concept descriptions: a method and experimental results". In: Machine Intelligence 11: Logic and the Acquisition of Knowledge Hayes, J, Michie, D and Richards, J (eds.), 263-288. Clarendon Press.
    • (1988) Machine Intelligence 11: Logic and the Acquisition of Knowledge , pp. 263-288
    • Reinke, R.1    Michalski, R.2
  • 134
    • 0001594860 scopus 로고
    • A general framework for induction and a study of selective induction
    • Rendell, L, 1986. "A general framework for induction and a study of selective induction". Machine Learning Journal 1 177-226.
    • (1986) Machine Learning Journal , vol.1 , pp. 177-226
    • Rendell, L.1
  • 135
    • 84990619681 scopus 로고
    • Similarity-based learning and its extensions
    • Rendell, L, 1987a. "Similarity-based learning and its extensions". Computational Intelligence 3(4) 241-266.
    • (1987) Computational Intelligence , vol.3 , Issue.4 , pp. 241-266
    • Rendell, L.1
  • 136
    • 9944240843 scopus 로고
    • Representations and models for concept learning
    • UIUCDCS-R-87-1324, University of Illinois
    • Rendell, L, 1987b. "Representations and models for concept learning". Technical Report, UIUCDCS-R-87-1324, University of Illinois.
    • (1987) Technical Report
    • Rendell, L.1
  • 139
    • 1442267080 scopus 로고
    • Learning decision lists
    • Rivest, R, 1987. "Learning decision lists". Machine Learning Journal 2 229-246.
    • (1987) Machine Learning Journal , vol.2 , pp. 229-246
    • Rivest, R.1
  • 141
    • 9944234541 scopus 로고
    • An SE-tree based characterisation of the induction problem
    • Amherst, MA
    • Rymon, R, 1993. "An SE-tree based characterisation of the induction problem". Proceedings Machine Learning Conference Amherst, MA.
    • (1993) Proceedings Machine Learning Conference
    • Rymon, R.1
  • 145
    • 85031797664 scopus 로고
    • When does overfitting decrease prediction accuracy in induced decision trees and rule sets
    • Kodratoff, Y (ed.), Springer-Verlag
    • Scharfer, C, 1991. "When does overfitting decrease prediction accuracy in induced decision trees and rule sets". In: Proceedings EWSL91 - European Working Session on Learning Kodratoff, Y (ed.), 192-205. Springer-Verlag.
    • (1991) Proceedings EWSL91 - European Working Session on Learning , pp. 192-205
    • Scharfer, C.1
  • 146
    • 0001872293 scopus 로고
    • Beyond incremental processing: Tracking concept drift
    • Philadelphia, PA, Morgan-Kaufmann
    • Schlimmer, JC and Granger, RH, 1986a. "Beyond incremental processing: tracking concept drift". Proceedings 5th National Conference on AI Philadelphia, PA, 496-501. Morgan-Kaufmann.
    • (1986) Proceedings 5th National Conference on AI , pp. 496-501
    • Schlimmer, J.C.1    Granger, R.H.2
  • 152
  • 156
    • 0025508354 scopus 로고
    • Entropy nets: From decision trees to neural networks
    • Sethi, I, 1990. "Entropy nets: from decision trees to neural networks". Proceedings of the IEEE 78(10) 1605-1613.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.10 , pp. 1605-1613
    • Sethi, I.1
  • 157
    • 85023504190 scopus 로고
    • Decision tree performance enhancement using an artificial neural network implementation
    • Sethi, I and Jain, A (eds.), Elsevier
    • Sethi, I, 1991. "Decision tree performance enhancement using an artificial neural network implementation". In: Artificial Neural Networks and Statistical Pattern Recognition: Old and New Connections Sethi, I and Jain, A (eds.), 71-88. Elsevier.
    • (1991) Artificial Neural Networks and Statistical Pattern Recognition: Old and New Connections , pp. 71-88
    • Sethi, I.1
  • 159
    • 0346425929 scopus 로고
    • General aspects of machine learning
    • Shavlik, J and Dietterich, T (eds.), Morgan-Kaufmann
    • Shavlik, J and Dietterich, T, 1990. "General aspects of machine learning". In: Readings in Machine Learning Shavlik, J and Dietterich, T (eds.), 1-10. Morgan-Kaufmann.
    • (1990) Readings in Machine Learning , pp. 1-10
    • Shavlik, J.1    Dietterich, T.2
  • 160
    • 0027002163 scopus 로고
    • Complementary discrimination learning with decision lists
    • July, AAAI/MIT Press
    • Shen, W, 1992. "Complementary discrimination learning with decision lists". Proceedings 10th National Conference on AI July, 153-158. AAAI/MIT Press.
    • (1992) Proceedings 10th National Conference on AI , pp. 153-158
    • Shen, W.1
  • 161
    • 9944230995 scopus 로고
    • ICAS: An incremental concept acquisition system using attribute-based description
    • July
    • Shifu, C, Bin, C and Jingui, P, 1992. "ICAS: an incremental concept acquisition system using attribute-based description". Journal of Computer Science and Technology 7(3) July, 284-288.
    • (1992) Journal of Computer Science and Technology , vol.7 , Issue.3 , pp. 284-288
    • Shifu, C.1    Bin, C.2    Jingui, P.3
  • 162
    • 38249014667 scopus 로고
    • Nonparametric classification using matched binary decision trees
    • February
    • Shlien, S, 1992. "Nonparametric classification using matched binary decision trees". Pattern Recognition Letters 13(2) February, 83-87.
    • (1992) Pattern Recognition Letters , vol.13 , Issue.2 , pp. 83-87
    • Shlien, S.1
  • 164
    • 0028400141 scopus 로고
    • Towards a technology and a science of machine learning
    • March
    • Sleeman, D, 1994. "Towards a technology and a science of machine learning". AI Communications - European Journal on AI 7(1) March, 29-38.
    • (1994) AI Communications - European Journal on AI , vol.7 , Issue.1 , pp. 29-38
    • Sleeman, D.1
  • 167
  • 168
    • 0346959434 scopus 로고
    • Lazy explanation-based learning: A solution to the intractable theory problem
    • Morgan-Kaufmann
    • Tadepalli, P, 1989. "Lazy explanation-based learning: a solution to the intractable theory problem". Proceedings 11th International Joint Conference on AI vol 1, 694-700. Morgan-Kaufmann.
    • (1989) Proceedings 11th International Joint Conference on AI , vol.1 , pp. 694-700
    • Tadepalli, P.1
  • 169
    • 85158070179 scopus 로고
    • Two case studies in cost-sensitive concept acquisition
    • AAAI/MIT Press
    • Tan, M and Schlimmer, J, 1990. "Two case studies in cost-sensitive concept acquisition". Proceedings 8th National Conference on AI vol 2. AAAI/MIT Press.
    • (1990) Proceedings 8th National Conference on AI , vol.2
    • Tan, M.1    Schlimmer, J.2
  • 171
    • 0026971897 scopus 로고
    • Using symbolic learning to improve knowledge-based neural networks
    • MIT/AAAI Press
    • Towell, G and Shavlik, J, 1992. "Using symbolic learning to improve knowledge-based neural networks". Proceedings 10th National Conference on AI 177-182. MIT/AAAI Press.
    • (1992) Proceedings 10th National Conference on AI , pp. 177-182
    • Towell, G.1    Shavlik, J.2
  • 172
    • 0042655434 scopus 로고
    • Refining symbolic knowledge using neural networks
    • Michalski, R and Tecuci, G (eds.), Morgan-Kaufmann
    • Towell, G and Shavlik, J, 1994. "Refining symbolic knowledge using neural networks". In: Machine Learning: A Multistrategy Approach Michalski, R and Tecuci, G (eds.), vol 4. Morgan-Kaufmann.
    • (1994) Machine Learning: A Multistrategy Approach , vol.4
    • Towell, G.1    Shavlik, J.2
  • 175
    • 85156269514 scopus 로고
    • Perceptron trees: A case study in hybrid representations
    • Morgan-Kaufmann
    • Utgoff, P, 1988b. "Perceptron trees: a case study in hybrid representations". Proceedings 7th National Conference on AI. 601-606. Morgan-Kaufmann.
    • (1988) Proceedings 7th National Conference on AI , pp. 601-606
    • Utgoff, P.1
  • 176
    • 77952642202 scopus 로고
    • Incremental induction of decision trees
    • Utgoff, P, 1989a. "Incremental induction of decision trees". Machine Learning Journal 4 161-186.
    • (1989) Machine Learning Journal , vol.4 , pp. 161-186
    • Utgoff, P.1
  • 177
  • 178
    • 85152888693 scopus 로고
    • An Incremental method for finding multivariate splits for decision trees
    • Porter, B and Mooney, R (eds.)
    • Utgoff, P and Brodley, C, 1990. "An Incremental method for finding multivariate splits for decision trees". In: Proceedings 7th International Conference on Machine Learning Porter, B and Mooney, R (eds.), 58-65.
    • (1990) Proceedings 7th International Conference on Machine Learning , pp. 58-65
    • Utgoff, P.1    Brodley, C.2
  • 179
    • 0003448318 scopus 로고
    • Decision tree induction based on efficient tree restructuring
    • Department Computer Science, University of Massachusetts, Amherst, MA
    • Utgoff, P, 1995. "Decision tree induction based on efficient tree restructuring". Technical Report 95-18, Department Computer Science, University of Massachusetts, Amherst, MA.
    • (1995) Technical Report 95-18
    • Utgoff, P.1
  • 180
    • 0039271793 scopus 로고
    • Improving a rule induction system using genetic algorithms
    • Michalski, R and Tecuci, G (eds.), Morgan-Kaufmann
    • Vafaie, H and De Jong, K, 1994. "Improving a rule induction system using genetic algorithms". In: Machine Learning: A Multistrategy Approach vol 4, Michalski, R and Tecuci, G (eds.), 453-469, Morgan-Kaufmann.
    • (1994) Machine Learning: A Multistrategy Approach , vol.4 , pp. 453-469
    • Vafaie, H.1    De Jong, K.2
  • 181
    • 0009353257 scopus 로고
    • Some recent human-computer discoveries in science and what accounts for them
    • Valdes-Perez, R, 1995. "Some recent human-computer discoveries in science and what accounts for them". AI Magazine 16(3) 37-44.
    • (1995) AI Magazine , vol.16 , Issue.3 , pp. 37-44
    • Valdes-Perez, R.1
  • 182
    • 0030103309 scopus 로고    scopus 로고
    • Computer-science research on scientific discovery
    • Valdes-Perez, R, 1996. "Computer-science research on scientific discovery". The Knowledge Engineering Review 11(1) 57-66.
    • (1996) The Knowledge Engineering Review , vol.11 , Issue.1 , pp. 57-66
    • Valdes-Perez, R.1
  • 183
    • 0021518106 scopus 로고
    • A theory of the learnable
    • Valiant, L, 1984. "A theory of the learnable". Communications of the ACM 27(11) 1134-1142.
    • (1984) Communications of the ACM , vol.27 , Issue.11 , pp. 1134-1142
    • Valiant, L.1
  • 187
    • 0026366781 scopus 로고
    • Learning by discovering problem solving heuristics through experience
    • December
    • Wang, W and Chen, J, 1991. "Learning by discovering problem solving heuristics through experience". IEEE Transactions on Knowledge and Data Engineering 3(4) December, 415-419.
    • (1991) IEEE Transactions on Knowledge and Data Engineering , vol.3 , Issue.4 , pp. 415-419
    • Wang, W.1    Chen, J.2
  • 188
    • 0342928260 scopus 로고
    • Guiding constructive induction for incremental learning from examples
    • McDermott, J (ed.). Morgan-Kaufmann
    • Watanabe, L and Elio, R, 1987. "Guiding constructive induction for incremental learning from examples". In: Proceedings 10th International Joint Conference on AI McDermott, J (ed.). Morgan-Kaufmann.
    • (1987) Proceedings 10th International Joint Conference on AI
    • Watanabe, L.1    Elio, R.2
  • 192
    • 0028443213 scopus 로고
    • Bias in information-based measures in decision tree induction
    • White, A and Liu, W, 1994. "Bias in information-based measures in decision tree induction". Machine Learning Journal 15 321-329.
    • (1994) Machine Learning Journal , vol.15 , pp. 321-329
    • White, A.1    Liu, W.2
  • 195
    • 0141952589 scopus 로고
    • Comparing symbolic and subsymbolic learning: Three studies
    • Michalski, R and Tecuci, G (eds.), Morgan-Kaufmann
    • Wnek, J and Michalski, R, 1994. "Comparing symbolic and subsymbolic learning: three studies". In: Machine Learning: A Multistrategy Approach Michalski, R and Tecuci, G (eds.), vol 4. Morgan-Kaufmann.
    • (1994) Machine Learning: A Multistrategy Approach , vol.4
    • Wnek, J.1    Michalski, R.2
  • 196
    • 0028385414 scopus 로고
    • Fuzzy logic, neural networks, and soft computing
    • Zadeh, L, 1994. "Fuzzy logic, neural networks, and soft computing". Communications of the ACM 37(3) 77-84.
    • (1994) Communications of the ACM , vol.37 , Issue.3 , pp. 77-84
    • Zadeh, L.1
  • 197
    • 0002856251 scopus 로고
    • Interactive mining of regularities in databases
    • Piatetsky-Shapiro, G and Frawley, W (eds.). AAAI Press
    • Zytkow, J and Baker, J, 1991. "Interactive mining of regularities in databases". In: Knowledge Discovery in Databases Piatetsky-Shapiro, G and Frawley, W (eds.). AAAI Press.
    • (1991) Knowledge Discovery in Databases
    • Zytkow, J.1    Baker, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.