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Volumn 7969 LNAI, Issue , 2013, Pages 188-202

Extending case adaptation with automatically-generated ensembles of adaptation rules

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION RULES; BASELINE METHODS; CASE ADAPTATION; COMPUTATIONAL COSTS; FEATURE SUBSET; GLOBAL METHODS; NEW APPROACHES; STANDARD DOMAINS;

EID: 84884505902     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-39056-2_14     Document Type: Conference Paper
Times cited : (17)

References (21)
  • 2
    • 0025725905 scopus 로고
    • Instance-based learning algorithms
    • Aha, D., Kibler, D., Albert, M.: Instance-based learning algorithms. Machine Learning 6(1), 37-66 (1991)
    • (1991) Machine Learning , vol.6 , Issue.1 , pp. 37-66
    • Aha, D.1    Kibler, D.2    Albert, M.3
  • 3
    • 84957587786 scopus 로고    scopus 로고
    • The Adaptation Knowledge Bottleneck: How to Ease it by Learning from Cases
    • Hanney, K., Keane, M.: The adaptation knowledge bottleneck: How to ease it by learning from cases. In: Leake, D.B., Plaza, E. (eds.) ICCBR 1997. LNCS, vol. 1266, pp. 359-370. Springer, Heidelberg (1997) (Pubitemid 127103943)
    • (1997) LECTURE NOTES IN COMPUTER SCIENCE , Issue.1266 , pp. 359-370
    • Hanney, K.1    Keane, M.T.2
  • 4
    • 84958656878 scopus 로고    scopus 로고
    • An adaptation heuristic for case-based estimation
    • Smyth, B., Cunningham, P. (eds.) EWCBR 1998 Springer, Heidelberg
    • McSherry, D.: An adaptation heuristic for case-based estimation. In: Smyth, B., Cunningham, P. (eds.) EWCBR 1998. LNCS (LNAI), vol. 1488, pp. 184-195. Springer, Heidelberg (1998)
    • (1998) LNCS (LNAI) , vol.1488 , pp. 184-195
    • McSherry, D.1
  • 8
    • 0003092797 scopus 로고    scopus 로고
    • Combining nearest neighbor classifiers through multiple feature subsets
    • Bay, S.D.: Combining nearest neighbor classifiers through multiple feature subsets. In: Proc. 15th International Conf. on Machine Learning, pp. 37-45 (1998)
    • (1998) Proc. 15th International Conf. on Machine Learning , pp. 37-45
    • Bay, S.D.1
  • 9
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123-140 (1996)
    • (1996) Mach. Learn. , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 10
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • Schapire, R.E.: The strength of weak learnability. Mach. Learn. 5(2), 197-227 (1990)
    • (1990) Mach. Learn. , vol.5 , Issue.2 , pp. 197-227
    • Schapire, R.E.1
  • 11
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L.: Random forests. Mach. Learn. 45(1), 5-32 (2001)
    • (2001) Mach. Learn. , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 12
    • 84956613663 scopus 로고    scopus 로고
    • Case Representation Issues for Case-Based Reasoning from Ensemble Research
    • Case-Based Reasoning Research and Development
    • Cunningham, P., Zenobi, G.: Case representation issues for case-based reasoning from ensemble research. In: Aha, D.W., Watson, I. (eds.) ICCBR 2001. LNCS (LNAI), vol. 2080, pp. 146-157. Springer, Heidelberg (2001) (Pubitemid 33312728)
    • (2001) LECTURE NOTES IN COMPUTER SCIENCE , Issue.2080 , pp. 146-157
    • Cunningham, P.1    Zenobi, G.2
  • 13
    • 26944488693 scopus 로고    scopus 로고
    • An ensemble of case-based classifiers for high-dimensional biological domains
    • Case-Based Reasoning Research and Development: 6th International Conference on Case-Based Reasoning, ICCBR 2005. Proceedings
    • Arshadi, N., Jurisica, I.: An ensemble of case-based classifiers for high-dimensional biological domains. In: Muñoz-Ávila, H., Ricci, F. (eds.) ICCBR 2005. LNCS (LNAI), vol. 3620, pp. 21-34. Springer, Heidelberg (2005) (Pubitemid 41480016)
    • (2005) Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) , vol.3620 , pp. 21-34
    • Arshadi, N.1    Jurisica, I.2
  • 14
    • 80255137421 scopus 로고    scopus 로고
    • Case-based reasoning ensemble and business application: A computational approach from multiple case representations driven by randomness
    • Li, H., Sun, J.: Case-based reasoning ensemble and business application: A computational approach from multiple case representations driven by randomness. Expert Systems with Applications 39(3), 3298-3310 (2012)
    • (2012) Expert Systems with Applications , vol.39 , Issue.3 , pp. 3298-3310
    • Li, H.1    Sun, J.2
  • 17
    • 38149080630 scopus 로고    scopus 로고
    • A hybrid case adaptation approach for case-based reasoning
    • Policastro, C.A., Carvalho, A.C., Delbem, A.C.: A hybrid case adaptation approach for case-based reasoning. Applied Intelligence 28(2), 101-119 (2008)
    • (2008) Applied Intelligence , vol.28 , Issue.2 , pp. 101-119
    • Policastro, C.A.1    Carvalho, A.C.2    Delbem, A.C.3
  • 18
    • 33646128859 scopus 로고    scopus 로고
    • Learning and Applying Case-Based Adaptation Knowledge
    • Case-Based Reasoning Research and Development
    • Craw, S., Jarmulak, J., Rowe, R.: Learning and applying case-based adaptation knowledge. In: Aha, D.W., Watson, I. (eds.) ICCBR 2001. LNCS (LNAI), vol. 2080, pp. 131-145. Springer, Heidelberg (2001) (Pubitemid 33312727)
    • (2001) LECTURE NOTES IN COMPUTER SCIENCE , Issue.2080 , pp. 131-145
    • Craw, S.1    Jarmulak, J.2    Rowe, R.3
  • 20
    • 84942792625 scopus 로고    scopus 로고
    • Learning to adapt for case-based design
    • Craw, S., Preece, A.D. (eds.) ECCBR 2002 Springer, Heidelberg
    • Wiratunga, N., Craw, S., Rowe, R.: Learning to adapt for case-based design. In: Craw, S., Preece, A.D. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, pp. 421-435. Springer, Heidelberg (2002)
    • (2002) LNCS (LNAI) , vol.2416 , pp. 421-435
    • Wiratunga, N.1    Craw, S.2    Rowe, R.3
  • 21
    • 84884506236 scopus 로고    scopus 로고
    • On deriving adaptation rule confidence from the rule generation process
    • Delany, S.J., Ontañón, S. (eds.) ICCBR 2013 Springer, Heidelberg
    • Jalali, V., Leake, D.: On deriving adaptation rule confidence from the rule generation process. In: Delany, S.J., Ontañón, S. (eds.) ICCBR 2013. LNCS, vol. 7969, pp. 179-187. Springer, Heidelberg (2013)
    • (2013) LNCS , vol.7969 , pp. 179-187
    • Jalali, V.1    Leake, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.