메뉴 건너뛰기




Volumn 4971 LNCS, Issue , 2008, Pages 266-277

GP classification under imbalanced data sets: Active sub-sampling and AUC approximation

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTER GRAPHICS; COMPUTER PROGRAMMING; FUNCTION EVALUATION; GENETIC ALGORITHMS; GENETIC PROGRAMMING; PROBABILITY DISTRIBUTIONS; RISK ASSESSMENT; STATISTICAL METHODS;

EID: 47249113963     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-78671-9_23     Document Type: Conference Paper
Times cited : (50)

References (22)
  • 1
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • Bradley, A.P.: The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition 30(7), 1145-1159 (1997)
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1145-1159
    • Bradley, A.P.1
  • 2
    • 0035247432 scopus 로고    scopus 로고
    • A comparison of linear Genetic Programming and Neural Networks in medical data mining
    • Brameier, M., Banzhaf, W.: A comparison of linear Genetic Programming and Neural Networks in medical data mining. IEEE Transactions on Evolutionary Computation 5(1), 17-26 (2001)
    • (2001) IEEE Transactions on Evolutionary Computation , vol.5 , Issue.1 , pp. 17-26
    • Brameier, M.1    Banzhaf, W.2
  • 3
    • 21044448959 scopus 로고    scopus 로고
    • Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimization
    • Cartlidge, J., Bullock, S.: Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimization. In: IEEE Congress on Evolutionary Computation, pp. 1420-1425 (2002)
    • (2002) IEEE Congress on Evolutionary Computation , pp. 1420-1425
    • Cartlidge, J.1    Bullock, S.2
  • 4
    • 34248162044 scopus 로고    scopus 로고
    • A monotonic archive for pareto-coevolution
    • de Jong, E.D.: A monotonic archive for pareto-coevolution. Evolutionary Computation 15(1), 61-94 (2007)
    • (2007) Evolutionary Computation , vol.15 , Issue.1 , pp. 61-94
    • de Jong, E.D.1
  • 6
    • 84956852101 scopus 로고    scopus 로고
    • Eggermont, J., Eiben, A.E., van Hermert, J.I.: Adapting the fitness function in GP for data mining. In: Langdon, W.B., Fogarty, T.C., Nordin, P., Poli, R. (eds.) EuroGP 1999. LNCS, 1598, pp. 193-202. Springer, Heidelberg (1999)
    • Eggermont, J., Eiben, A.E., van Hermert, J.I.: Adapting the fitness function in GP for data mining. In: Langdon, W.B., Fogarty, T.C., Nordin, P., Poli, R. (eds.) EuroGP 1999. LNCS, vol. 1598, pp. 193-202. Springer, Heidelberg (1999)
  • 8
    • 85008255983 scopus 로고    scopus 로고
    • Gathercole, C., Ross, P.: Dynamic training subset selection for supervised learning in genetic programming. In: Davidor, Y., Männer, R., Schwefel, H.-P. (eds.) PPSN 1994. LNCS, 866, pp. 312-321. Springer, Heidelberg (1994)
    • Gathercole, C., Ross, P.: Dynamic training subset selection for supervised learning in genetic programming. In: Davidor, Y., Männer, R., Schwefel, H.-P. (eds.) PPSN 1994. LNCS, vol. 866, pp. 312-321. Springer, Heidelberg (1994)
  • 10
    • 0000157651 scopus 로고
    • Co-evolving parasites improve simulated evolution as an optimization procedure
    • Santa Fe Institute Studies in the Sciences of Complexity
    • Hillis, W.D.: Co-evolving parasites improve simulated evolution as an optimization procedure. In: Artificial Life II. Santa Fe Institute Studies in the Sciences of Complexity, vol. X, pp. 313-324 (1990)
    • (1990) Artificial Life II , vol.10 , pp. 313-324
    • Hillis, W.D.1
  • 12
    • 84937438636 scopus 로고    scopus 로고
    • Langdon, W.B., Buxton, B.F.: Evolving Receiver Operating Characteristics for Data Fusion. In: Miller, J., Tomassini, M., Lanzi, P.L., Ryan, C., Tetamanzi, A.G.B., Langdon, W.B. (eds.) EuroGP 2001. LNCS, 2038, pp. 87-96. Springer, Heidelberg (2001)
    • Langdon, W.B., Buxton, B.F.: Evolving Receiver Operating Characteristics for Data Fusion. In: Miller, J., Tomassini, M., Lanzi, P.L., Ryan, C., Tetamanzi, A.G.B., Langdon, W.B. (eds.) EuroGP 2001. LNCS, vol. 2038, pp. 87-96. Springer, Heidelberg (2001)
  • 13
    • 34548090813 scopus 로고    scopus 로고
    • Lemczyk, M., Heywood, M.I.: Training binary GP classifiers efficiently: a Pareto-coevolutionary approach. In: Ebner, M., O'Neill, M., Eḱart, A., Vanneschi, L., Esparcia-Alcázar, A.I. (eds.) EuroGP 2007. LNCS, 4445, pp. 229-240. Springer, Heidelberg (2007)
    • Lemczyk, M., Heywood, M.I.: Training binary GP classifiers efficiently: a Pareto-coevolutionary approach. In: Ebner, M., O'Neill, M., Eḱart, A., Vanneschi, L., Esparcia-Alcázar, A.I. (eds.) EuroGP 2007. LNCS, vol. 4445, pp. 229-240. Springer, Heidelberg (2007)
  • 18
    • 38349082433 scopus 로고    scopus 로고
    • Patterson, G., Zhang, M.: Fitness functions in Genetic Programming for classification with unbalanced data. In: Orgun, M.A., Thornton, J. (eds.) AI 2007. LNCS (LNAI), 4830, pp. 464-471. Springer, Heidelberg (2007)
    • Patterson, G., Zhang, M.: Fitness functions in Genetic Programming for classification with unbalanced data. In: Orgun, M.A., Thornton, J. (eds.) AI 2007. LNCS (LNAI), vol. 4830, pp. 464-471. Springer, Heidelberg (2007)
  • 19
    • 21044433766 scopus 로고    scopus 로고
    • Training Genetic Programming on half a million patterns: An example from anomaly detection
    • Song, D., Heywood, M.I., Zincir-Heywood, A.N.: Training Genetic Programming on half a million patterns: An example from anomaly detection. IEEE Transactions on Evolutionary Computation 9(3), 225-239 (2005)
    • (2005) IEEE Transactions on Evolutionary Computation , vol.9 , Issue.3 , pp. 225-239
    • Song, D.1    Heywood, M.I.2    Zincir-Heywood, A.N.3
  • 20
    • 1442275185 scopus 로고    scopus 로고
    • Learning when training data are costly: The effect of class distribution on tree induction
    • Weiss, G.M., Provost, R.: Learning when training data are costly: The effect of class distribution on tree induction. Journal of Artificial Intelligence Research 19, 315-354 (2003)
    • (2003) Journal of Artificial Intelligence Research , vol.19 , pp. 315-354
    • Weiss, G.M.1    Provost, R.2
  • 22
    • 47249127525 scopus 로고    scopus 로고
    • Zoungker, D, Punch, B, lilgp genetic programming system. version 1.1 1998
    • Zoungker, D., Punch, B.: lilgp genetic programming system. version 1.1 (1998), http://garage.cse.msu.edu/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.