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Volumn 2363, Issue , 2002, Pages 718-728

CLARISSE: A machine learning tool to initialize student models

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED INSTRUCTION; EDUCATION COMPUTING; MACHINE LEARNING; QUANTUM OPTICS; STUDENTS;

EID: 84943241471     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47987-2_72     Document Type: Conference Paper
Times cited : (17)

References (18)
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    • Exploiting Model-Based Reasoning in Educational Systems
    • K.D. Forbus and P.J. Feltovich (Eds)
    • De Koning, K., and Bredeweg, B., “Exploiting Model-Based Reasoning in Educational Systems”, in Smart Machines in Education, K.D. Forbus and P.J. Feltovich (Eds), pp. 299–330, 2001.
    • (2001) Smart Machines in Education , pp. 299-330
    • De Koning, K.1    Bredeweg, B.2
  • 10
    • 0343442766 scopus 로고
    • Knowledge Acquisition via Incremental Conceptual Clustering
    • Fisher, D., “Knowledge Acquisition via Incremental Conceptual Clustering”, Machine Learning 2, pp. 139–172, 1987.
    • (1987) Machine Learning , vol.2 , pp. 139-172
    • Fisher, D.1
  • 12
    • 0002410338 scopus 로고
    • Information, Uncertainty, and the Utility of Categories, Proceedings of the Seventh Annual Conference of the Cognitive Science Society
    • Gluck, M.A. and Corter, J.E., “Information, Uncertainty, and the Utility of Categories”, Proceedings of the Seventh Annual Conference of the Cognitive Science Society, Hillsdale: Lawrence Erlbaum Associates, pp. 283–287, 1985.
    • (1985) Hillsdale: Lawrence Erlbaum Associates , pp. 283-287
    • Gluck, M.A.1    Corter, J.E.2
  • 13
    • 0006035909 scopus 로고
    • Conceptual Clustering and Categorisation: Bridging the Gap between Induction and Causal Models
    • Hanson S.J., “Conceptual Clustering and Categorisation: Bridging the Gap between Induction and Causal Models”, Machine Learning: An Artificial Intelligence Approach 3, 1990.
    • (1990) Machine Learning: An Artificial Intelligence Approach , vol.3
    • Hanson, S.J.1
  • 14
  • 15
    • 0000166613 scopus 로고
    • Experiments with Incremental Concept Formation: UNIMEM
    • Lebowitz, M., “Experiments with Incremental Concept Formation: UNIMEM”, Machine Learning 2, pp. 103–138, 1987.
    • (1987) Machine Learning , vol.2 , pp. 103-138
    • Lebowitz, M.1
  • 17
    • 84957878897 scopus 로고    scopus 로고
    • Acquiring User Preferences for Information Filtering in Interactive Multi-Media Services
    • Raskutti, B. and Beitz, A., “Acquiring User Preferences for Information Filtering in Interactive Multi-Media Services”, Proceedings of PRICAI, pp. 47–58, 1996.
    • (1996) Proceedings of PRICAI , pp. 47-58
    • Raskutti, B.1    Beitz, A.2
  • 18
    • 0142051871 scopus 로고    scopus 로고
    • Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer
    • Shor, P.W., “Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer”, SIAM Journal on Computing 26, pp. 1484–1509, 1997.
    • (1997) SIAM Journal on Computing , vol.26 , pp. 1484-1509
    • Shor, P.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.