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Volumn 4635 LNAI, Issue , 2007, Pages 330-341

Enhancing just-in-time e-learning through machine learning on desktop context sensors

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; LEARNING ALGORITHMS; PERSONAL COMPUTERS; SENSOR NETWORKS; USER INTERFACES;

EID: 37249030923     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74255-5_25     Document Type: Conference Paper
Times cited : (26)

References (21)
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    • A Tutorial on Support Vector Machines for Pattern Recognition
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    • Burges, C.J.C.1
  • 4
    • 80053403826 scopus 로고    scopus 로고
    • Dietterich, T.G.: Ensemble Methods in Machine Learning. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, 1857, pp. 1-15. Springer, Heidelberg (2000)
    • Dietterich, T.G.: Ensemble Methods in Machine Learning. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, vol. 1857, pp. 1-15. Springer, Heidelberg (2000)
  • 5
    • 0002419948 scopus 로고    scopus 로고
    • Beyond Independence: Conditions for the Optimally of the Simple Bayesian Classifier
    • Domingos, P., Pazzani, M.J.: Beyond Independence: Conditions for the Optimally of the Simple Bayesian Classifier. In: International Conference on Machine Learning, pp. 105-112 (1996)
    • (1996) International Conference on Machine Learning , pp. 105-112
    • Domingos, P.1    Pazzani, M.J.2
  • 7
    • 4544312579 scopus 로고    scopus 로고
    • Data Mining
    • Morgan Kaufmann Publishers, San Francisco
    • Han, J., Kamber, M.: Data Mining. Concepts and Techniques. Morgan Kaufmann Publishers, San Francisco (2001)
    • (2001) Concepts and Techniques
    • Han, J.1    Kamber, M.2
  • 9
    • 84957069814 scopus 로고    scopus 로고
    • Text Categorization with Support Vector Machines: Learning with Many Relevant Features
    • Joachims, T.: Text Categorization with Support Vector Machines: Learning with Many Relevant Features. In: Proceedings of the 10th European Conference on Machine Learning, pp. 137-142 (1998)
    • (1998) Proceedings of the 10th European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 14
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic Outputs for Support Vector Machines and Comparison to Regularized Likelihood Methods
    • Smola, A.J, Bartlett, P, Schoelkopf, B, Schuurmans, D, eds, MIT Press, Cambridge
    • Platt, J.: Probabilistic Outputs for Support Vector Machines and Comparison to Regularized Likelihood Methods. In: Smola, A.J., Bartlett, P., Schoelkopf, B., Schuurmans, D. (eds.) Advances in Large Margin Classifiers, pp. 61-74. MIT Press, Cambridge (2000)
    • (2000) Advances in Large Margin Classifiers , pp. 61-74
    • Platt, J.1
  • 15
    • 33744584654 scopus 로고
    • Induction of Decision Trees
    • Quinlan, J.R.: Induction of Decision Trees. Machine Learning 1(1), 81-106 (1986)
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 17
    • 0002899794 scopus 로고    scopus 로고
    • Learning decision tree classifiers
    • Quinlan, J.R.: Learning decision tree classifiers. ACM Computing Surveys (CSUR) 28(1), 71-72 (1996)
    • (1996) ACM Computing Surveys (CSUR) , vol.28 , Issue.1 , pp. 71-72
    • Quinlan, J.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.