메뉴 건너뛰기




Volumn 4701 LNAI, Issue , 2007, Pages 624-631

Ensembles of multi-objective decision trees

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; MATHEMATICAL MODELS;

EID: 38049132551     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74958-5_61     Document Type: Conference Paper
Times cited : (184)

References (28)
  • 1
    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning
    • Caruana, R.: Multitask learning. Machine Learning 28, 41-75 (1997)
    • (1997) Machine Learning , vol.28 , pp. 41-75
    • Caruana, R.1
  • 3
    • 38049158319 scopus 로고    scopus 로고
    • Suzuki, E., Gotoh, M., Choki, Y.: Bloomy decision trees for multi-objective classification. In: Siebes, A., De Raedt, L. (eds.) PKDD 2001. LNCS (LNAI), 2168, Springer, Heidelberg (2001)
    • Suzuki, E., Gotoh, M., Choki, Y.: Bloomy decision trees for multi-objective classification. In: Siebes, A., De Raedt, L. (eds.) PKDD 2001. LNCS (LNAI), vol. 2168, Springer, Heidelberg (2001)
  • 5
    • 80053403826 scopus 로고    scopus 로고
    • Dietterich, T.: Ensemble methods in machine learning. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, 1857, pp. 1-15. Springer, Heidelberg (2000)
    • Dietterich, T.: Ensemble methods in machine learning. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, vol. 1857, pp. 1-15. Springer, Heidelberg (2000)
  • 6
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L.: Bagging predictors. Machine Learning 24(2), 123-140 (1996)
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 11
    • 84956852805 scopus 로고    scopus 로고
    • Simultaneous prediction of multiple chemical parameters of river water quality with Tilde
    • Zytkow, J.M, Rauch, J, eds, Principles of Data Mining and Knowledge Discovery, Springer, Heidelberg
    • Blocked, H., Džeroski, S., Grbovié, J.: Simultaneous prediction of multiple chemical parameters of river water quality with Tilde. In: Zytkow, J.M., Rauch, J. (eds.) Principles of Data Mining and Knowledge Discovery. LNCS (LNAI), vol. 1704, pp. 32-40. Springer, Heidelberg (1999)
    • (1999) LNCS (LNAI , vol.1704 , pp. 32-40
    • Blocked, H.1    Džeroski, S.2    Grbovié, J.3
  • 12
    • 0343391218 scopus 로고    scopus 로고
    • Predicting chemical parameters of river water quality from bioindicator data
    • Džeroski, S., Demšar, D., Grbovié, J.: Predicting chemical parameters of river water quality from bioindicator data. Applied Intelligence 13(1), 7-17 (2000)
    • (2000) Applied Intelligence , vol.13 , Issue.1 , pp. 7-17
    • Džeroski, S.1    Demšar, D.2    Grbovié, J.3
  • 13
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L.: Random forests. Machine Learning 45(1), 5-32 (2001)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 15
    • 0002978642 scopus 로고    scopus 로고
    • Experiments with a new boosting algorithm
    • Morgan Kaufmann, San Francisco
    • Freund, Y., Schapire, R.E.: Experiments with a new boosting algorithm. In: Proc. of the 13th ICML, pp. 148-156. Morgan Kaufmann, San Francisco (1996)
    • (1996) Proc. of the 13th ICML , pp. 148-156
    • Freund, Y.1    Schapire, R.E.2
  • 16
    • 0003856278 scopus 로고    scopus 로고
    • Using adaptive bagging to debias regressions
    • Technical report, Statistics Department, University of California, Berkeley
    • Breiman, L.: Using adaptive bagging to debias regressions. Technical report, Statistics Department, University of California, Berkeley (1999)
    • (1999)
    • Breiman, L.1
  • 20
    • 33750303563 scopus 로고    scopus 로고
    • Blockeel, H., Schietgat, L., Struyf, J., Džeroski, S., Clare, A.: Decision trees for hierarchical multilabel classification: A case study in functional genomics. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) PKDD 2006. LNCS (LNAI), 4213, Springer, Heidelberg (2006)
    • Blockeel, H., Schietgat, L., Struyf, J., Džeroski, S., Clare, A.: Decision trees for hierarchical multilabel classification: A case study in functional genomics. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) PKDD 2006. LNCS (LNAI), vol. 4213, Springer, Heidelberg (2006)
  • 21
    • 84943242305 scopus 로고    scopus 로고
    • Clare, A., King, R.: Knowledge discovery in multi-label phenotype data. In: Siebes, A., De Raedt, L. (eds.) PKDD 2001. LNCS (LNAI), 2168, Springer, Heidelberg (2001)
    • Clare, A., King, R.: Knowledge discovery in multi-label phenotype data. In: Siebes, A., De Raedt, L. (eds.) PKDD 2001. LNCS (LNAI), vol. 2168, Springer, Heidelberg (2001)
  • 22
    • 33745775676 scopus 로고    scopus 로고
    • Struyf, J., Džeroski, S.: Constraint based induction of multi-objective regression trees. In: Bonchi, F., Boulicaut, J.-F. (eds.) KDID 2005. LNCS, 3933, pp. 222-233. Springer, Heidelberg (2006)
    • Struyf, J., Džeroski, S.: Constraint based induction of multi-objective regression trees. In: Bonchi, F., Boulicaut, J.-F. (eds.) KDID 2005. LNCS, vol. 3933, pp. 222-233. Springer, Heidelberg (2006)
  • 23
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
    • Bauer, E., Kohavi, R.: An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning 36, 105 (1999)
    • (1999) Machine Learning , vol.36 , pp. 105
    • Bauer, E.1    Kohavi, R.2
  • 25
    • 0001884644 scopus 로고
    • Individual comparisons by ranking methods
    • Wilcoxon, F.: Individual comparisons by ranking methods. Biometrics 1 (1945)
    • (1945) Biometrics , vol.1
    • Wilcoxon, F.1
  • 28
    • 38049108305 scopus 로고    scopus 로고
    • Beam search induction and similarity constraints for predictive clustering trees
    • Revised Selected and Invited Papers to appear
    • Kocev, D., Džeroski, S., Struyf, J.: Beam search induction and similarity constraints for predictive clustering trees. In: 5th Int'l Workshop on KDID: Revised Selected and Invited Papers (to appear, 2007)
    • (2007) 5th Int'l Workshop on KDID
    • Kocev, D.1    Džeroski, S.2    Struyf, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.