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Volumn , Issue , 2006, Pages

Training a SVM-based classifier in distributed sensor networks

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION TASKS; COMMUNICATION CONSTRAINTS; CONCEPT DRIFTS; DECISION BOUNDARY; DISTRIBUTED SENSOR NETWORKS; ENERGY COST; ENERGY EFFICIENT; INCREMENTAL LEARNING; LOW-POWER DEVICES; NONSTATIONARY; ON-BOARD PROCESSING; ONLINE LEARNING; SAMPLE DATA; SIMULATION EXPERIMENTS; SPARSE REPRESENTATION; SVM-BASED CLASSIFIERS; TRAINING METHODS; WIRELESS COMMUNICATION CAPABILITIES;

EID: 84862609681     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (41)

References (13)
  • 1
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    • Chemnitz, Germany, April
    • T. Joachims, "Text categorization with support vector machines," in Proc. 10th Eur. Conf. on Machine Learning (ECML'98), Chemnitz, Germany, April 1998, pp. 137-142.
    • (1998) Proc. 10th Eur. Conf. on Machine Learning (ECML'98) , pp. 137-142
    • Joachims, T.1
  • 2
    • 0030673582 scopus 로고    scopus 로고
    • Training support vector machines: An application to face detection
    • Washington, DC, USA, IEEE Computer Society
    • E. Osuna, R. Freund, and F. Girosi, "Training support vector machines: An application to face detection," in Proc. of the 1997 Conference on Comp. Vision and Pattern Recogn., Washington, DC, USA, 1997, p. 130, IEEE Computer Society.
    • (1997) Proc. of the 1997 Conference on Comp. Vision and Pattern Recogn , pp. 130
    • Osuna, E.1    Freund, R.2    Girosi, F.3
  • 6
    • 0000897328 scopus 로고    scopus 로고
    • The kernel adatron algorithm: A fast and simple learning procedure for support vector machines
    • Madison, Wisconsin, July
    • T. T. Friess, N. Cristianini, and C. Campbell, "The kernel adatron algorithm: a fast and simple learning procedure for support vector machines," in Proc. 15th Int. Conf. on Machine Learning, Madison, Wisconsin, July 1998, pp. 188-196.
    • (1998) Proc. 15th Int. Conf. on Machine Learning , pp. 188-196
    • Friess, T.T.1    Cristianini, N.2    Campbell, C.3
  • 7
    • 78149303576 scopus 로고    scopus 로고
    • Incremental learning with support vector machines
    • San Jose, CA, USA, November
    • S. Ruping, "Incremental learning with support vector machines," in Proc. IEEE Int. Conf. on Data Mining, San Jose, CA, USA, November 2001, pp. 641-642.
    • (2001) Proc. IEEE Int. Conf. on Data Mining , pp. 641-642
    • Ruping, S.1
  • 10
    • 84862634004 scopus 로고    scopus 로고
    • Support vector machine incremental learning, adaptation and optimization
    • Portland, OR, July
    • C. P. Diehl and G. Cauwenberghs, "Support vector machine incremental learning, adaptation and optimization," in Proc. Int. Joint Conf. on Neural Networks, Portland, OR, July 2003.
    • (2003) Proc. Int. Joint Conf. on Neural Networks
    • Diehl, C.P.1    Cauwenberghs, G.2
  • 11
    • 0001907967 scopus 로고    scopus 로고
    • Support vector machines: Hype or hallelujah
    • K. Bennett and C. Campbell, "Support vector machines: hype or hallelujah," SIGKDD Explorations, vol. 2,2, pp. 1-13, 2000.
    • (2000) SIGKDD Explorations , vol.2 , Issue.2 , pp. 1-13
    • Bennett, K.1    Campbell, C.2
  • 13
    • 0141804082 scopus 로고    scopus 로고
    • Detecting concept drift with support vector machines
    • Stanford, CA, USA
    • R. Klinkenberg and T. Joachims, "Detecting concept drift with support vector machines," in Proc. Int. Conf. on Machine Learning, Stanford, CA, USA, 2000, pp. 487-494.
    • (2000) Proc. Int. Conf. on Machine Learning , pp. 487-494
    • Klinkenberg, R.1    Joachims, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.