메뉴 건너뛰기




Volumn 1, Issue , 2003, Pages 115-122

Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; DECISION TABLES; ERROR CORRECTION; NEURAL NETWORKS; QUERY LANGUAGES; RELATIONAL DATABASE SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); SET THEORY;

EID: 1942517317     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (16)
  • 2
    • 84898957872 scopus 로고    scopus 로고
    • Improving the accuracy and speed of support vector machines
    • Burges, C., & Schölkopf, B. (1997). Improving the accuracy and speed of support vector machines. NIPS.
    • (1997) NIPS
    • Burges, C.1    Schölkopf, B.2
  • 3
    • 1942450879 scopus 로고    scopus 로고
    • Anytime interval-valued outputs for kernel machines: Fast support vector machine classification via distance geometry
    • DeCoste, D. (2002). Anytime interval-valued outputs for kernel machines: Fast support vector machine classification via distance geometry. Proceedings of ICML-02.
    • (2002) Proceedings of ICML-02
    • DeCoste, D.1
  • 5
    • 0036161034 scopus 로고    scopus 로고
    • Training invariant support vector machines
    • DeCoste, D., & Schölkopf, B. (2002). Training invariant support vector machines. Machine Learning, 46.
    • (2002) Machine Learning , vol.46
    • DeCoste, D.1    Schölkopf, B.2
  • 6
    • 84976803260 scopus 로고
    • FastMap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets
    • Faloutsos, C., & Lin, K.-I. (1995). FastMap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets. ACM SIGMOD Intl. Conf. on Management of Data.
    • (1995) ACM SIGMOD Intl. Conf. on Management of Data
    • Faloutsos, C.1    Lin, K.-I.2
  • 9
    • 84898965347 scopus 로고    scopus 로고
    • A mathematical programming approach to the kernel Fisher algorithm
    • Mika, S., Rätsch, G., & Müller, K.-R. (2001). A mathematical programming approach to the kernel Fisher algorithm. NIPS 13.
    • (2001) NIPS , vol.13
    • Mika, S.1    Rätsch, G.2    Müller, K.-R.3
  • 10
    • 0000400948 scopus 로고    scopus 로고
    • Large margin dags for multiclass classification
    • Platt, J. (1999). Large margin dags for multiclass classification. NIPS 11.
    • (1999) NIPS , vol.11
    • Platt, J.1
  • 12
    • 0000263906 scopus 로고    scopus 로고
    • Fast approximation of support vector kernel expansions, and an interpretation of clustering as approximation in feature spaces
    • Springer
    • Schölkopf, B., Knirsch, P., Smola, A., & Burges, C. (1998). Fast approximation of support vector kernel expansions, and an interpretation of clustering as approximation in feature spaces. Mustererkennung 1998 - 20. DAGM-Symposium. Springer.
    • (1998) Mustererkennung 1998 - 20. DAGM-symposium
    • Schölkopf, B.1    Knirsch, P.2    Smola, A.3    Burges, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.