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Volumn , Issue , 2009, Pages 307-314

Predicting student grades in learning management systems with multiple instance genetic programming

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EXPERIMENT; GRAMMAR GUIDED GENETIC PROGRAMMING; LEARNING MANAGEMENT SYSTEM; MULTIPLE INSTANCES; MULTIPLE-INSTANCE LEARNING; SENSITIVITY AND SPECIFICITY; STUDENT GRADES; STUDENT'S PERFORMANCE;

EID: 77958152418     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (53)

References (17)
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    • Superby, J.F.1    Vandamme, J.P.2    Meskens, N.3
  • 5
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance problem with axis-parallel rectangles
    • PII S0004370296000343
    • Dietterich, T.G., Lathrop R. H., Lozano-Perez, T., Solving the multiple instance problem with axis-parallel rectangles, Artificial Intelligence, 89 (1-2), 31-71, 1997. (Pubitemid 127412230)
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    • Solving the multiple-instance problem: A lazy learning approach
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    • Wang, J.1    Zucker, J.-D.2
  • 9
    • 84949443498 scopus 로고    scopus 로고
    • Solving multiple-instance and multiple-part learning problems with decision trees and decision rules
    • Advances in Artificial Intelligence
    • Chevaleyre, Y.-Z., Zucker, J.-D. Solving multiple-instance and multiple-part learning problems with decision trees and decision rules. Application to the mutagenesis problem. AI'01: Proceedings of the 14th of the Canadian Society for Computational Studies of Intelligence, LNCS 2056, Ottawa, Canada, 204-214, 2001. (Pubitemid 33276101)
    • (2001) Lecture Notes in Computer Science , Issue.2056 , pp. 204-214
    • Chevaleyre, Y.1    Zucker, J.-D.2
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.