메뉴 건너뛰기




Volumn 97, Issue 1-4, 2000, Pages 287-311

Indicator space configuration for early warning of violent political conflicts by genetic algorithms

Author keywords

Early warning; Genetic algorithms; Indicator selection; Neural networks; Pattern recognition

Indexed keywords


EID: 26444478657     PISSN: 02545330     EISSN: 15729338     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (17)
  • 1
    • 0028496468 scopus 로고
    • Learning boolean concepts in the presence of many irrelevant features
    • H. Almuallim and T.G. Dietterich, Learning boolean concepts in the presence of many irrelevant features, Artificial Intelligence 69(1-2) (1994) 279-305.
    • (1994) Artificial Intelligence , vol.69 , Issue.1-2 , pp. 279-305
    • Almuallim, H.1    Dietterich, T.G.2
  • 3
    • 0000751098 scopus 로고    scopus 로고
    • Using learning to facilitate the evolution of features for recognizing visual concepts
    • J. Bala, K. De Jong, J. Huang, H. Vafaie and H. Wechsler, Using learning to facilitate the evolution of features for recognizing visual concepts, Evolutionary Computation 4(3) (1996) 297-311.
    • (1996) Evolutionary Computation , vol.4 , Issue.3 , pp. 297-311
    • Bala, J.1    De Jong, K.2    Huang, J.3    Vafaie, H.4    Wechsler, H.5
  • 4
    • 0028447220 scopus 로고
    • Deliberation scheduling for problem solving in time-constrained environment
    • M. Boddy and T. Dean, Deliberation scheduling for problem solving in time-constrained environment, Artificial Intelligence 67(2) (1994) 245-285.
    • (1994) Artificial Intelligence , vol.67 , Issue.2 , pp. 245-285
    • Boddy, M.1    Dean, T.2
  • 6
    • 84873015705 scopus 로고    scopus 로고
    • Finding harbingers of violent conflict: Using pattern recognition to anticipate conflicts
    • to appear
    • P. Brecke, Finding harbingers of violent conflict: Using pattern recognition to anticipate conflicts, in: Conflict Management and Peace Research (to appear).
    • Conflict Management and Peace Research
    • Brecke, P.1
  • 10
    • 0013326060 scopus 로고    scopus 로고
    • Feature selection for classification
    • M. Dash and H. Liu, Feature selection for classification, Intelligent Data Analysis 1(3) (1997).
    • (1997) Intelligent Data Analysis , vol.1 , Issue.3
    • Dash, M.1    Liu, H.2
  • 11
    • 0346051103 scopus 로고    scopus 로고
    • Hybrid search of feature subsets
    • M. Dash and H. Liu, Hybrid search of feature subsets, in: PRICAI'98 (1998) pp. 22-27.
    • (1998) PRICAI'98 , pp. 22-27
    • Dash, M.1    Liu, H.2
  • 12
    • 85169548668 scopus 로고
    • NP-completeness of searches for smallest possible feature sets
    • AAAI Press, New Orleans, LA
    • S. Davies and S. Russell, NP-completeness of searches for smallest possible feature sets, in: Proceedings of the AAAI Fall Symposium on Relevance (AAAI Press, New Orleans, LA, 1994) pp. 37-39.
    • (1994) Proceedings of the AAAI Fall Symposium on Relevance , pp. 37-39
    • Davies, S.1    Russell, S.2
  • 14
    • 0001823341 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
    • T.G. Dietterich, An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization, Machine Learning 3 (1998) 1-22.
    • (1998) Machine Learning , vol.3 , pp. 1-22
    • Dietterich, T.G.1
  • 16
    • 0001334115 scopus 로고
    • The CHC adaptive search algorithm. How to have safe search when engaging in nontraditional genetic recombination
    • ed. G. Rawlins Morgan Kaufmann
    • L. Eshelman, The CHC adaptive search algorithm. How to have safe search when engaging in nontraditional genetic recombination, in: FOGA-1, Vol. 9, ed. G. Rawlins (Morgan Kaufmann, 1991) pp. 265-283.
    • (1991) FOGA-1 , vol.9 , pp. 265-283
    • Eshelman, L.1
  • 17
    • 0022030443 scopus 로고
    • Feature selection for automatic classification of non-Gaussian data
    • I. Foroutan and J. Sklansky, Feature selection for automatic classification of non-Gaussian data, IEEE Trans. Systems Man Cybernet. 17 (1987) 187-198.
    • (1987) IEEE Trans. Systems Man Cybernet. , vol.17 , pp. 187-198
    • Foroutan, I.1    Sklansky, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.