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Volumn , Issue , 2009, Pages 881-888

Scalable algorithms for string kernels with inexact matching

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; CLUSTERING ALGORITHMS; COMPUTATIONAL COMPLEXITY;

EID: 84858777589     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (18)
  • 1
    • 33745616114 scopus 로고    scopus 로고
    • A machine learning information retrieval approach to protein fold recognition
    • DOI 10.1093/bioinformatics/btl102
    • Jianlin Cheng and Pierre Baldi. A machine learning information retrieval approach to protein fold recognition. Bioinformatics, 22(12):1456-1463, June 2006. (Pubitemid 43985316)
    • (2006) Bioinformatics , vol.22 , Issue.12 , pp. 1456-1463
    • Cheng, J.1    Baldi, P.2
  • 3
    • 85156187897 scopus 로고    scopus 로고
    • Mismatch string kernels for SVM protein classification
    • Christina S. Leslie, Eleazar Eskin, Jason Weston, and William Stafford Noble. Mismatch string kernels for SVM protein classification. In NIPS, pages 1417-1424, 2002.
    • (2002) NIPS , pp. 1417-1424
    • Leslie, C.S.1    Eskin, E.2    Weston, J.3    Stafford Noble, W.4
  • 4
    • 31844439279 scopus 로고    scopus 로고
    • Large scale genomic sequence SVM classifiers
    • New York, NY, USA
    • Sören Sonnenburg, Gunnar Rätsch, and Bernhard Schölkopf. Large scale genomic sequence SVM classifiers. In ICML '05, pages 848-855, New York, NY, USA, 2005.
    • (2005) ICML '05 , pp. 848-855
    • Sonnenburg, S.1    Rätsch, G.2    Schölkopf, B.3
  • 6
    • 84883575579 scopus 로고    scopus 로고
    • Fast string kernels using inexact matching for protein sequences
    • Christina Leslie and Rui Kuang. Fast string kernels using inexact matching for protein sequences. J. Mach. Learn. Res., 5:1435-1455, 2004.
    • (2004) J. Mach. Learn. Res. , vol.5 , pp. 1435-1455
    • Leslie, C.1    Kuang, R.2
  • 7
    • 25144481906 scopus 로고    scopus 로고
    • Semi-supervised protein classification using cluster kernels
    • DOI 10.1093/bioinformatics/bti497
    • JasonWeston, Christina Leslie, Eugene Ie, Dengyong Zhou, Andre Elisseeff, andWilliam Stafford Noble. Semi-supervised protein classification using cluster kernels. Bioinformatics, 21(15):3241-3247, 2005. (Pubitemid 41418437)
    • (2005) Bioinformatics , vol.21 , Issue.15 , pp. 3241-3247
    • Weston, J.1    Leslie, C.2    Le, E.3    Zhou, D.4    Elisseeff, A.5    Noble, W.S.6
  • 9
    • 0036358995 scopus 로고    scopus 로고
    • The spectrum kernel: A string kernel for SVM protein classification
    • Christina S. Leslie, Eleazar Eskin, and William Stafford Noble. The spectrum kernel: A string kernel for SVM protein classification. In Pacific Symposium on Biocomputing, pages 566-575, 2002.
    • (2002) Pacific Symposium on Biocomputing , pp. 566-575
    • Leslie, C.S.1    Eskin, E.2    Stafford Noble, W.3
  • 12
    • 24944584599 scopus 로고    scopus 로고
    • Efficient computation of gapped substring kernels on large alphabets
    • Juho Rousu and John Shawe-Taylor. Efficient computation of gapped substring kernels on large alphabets. J. Mach. Learn. Res., 6:1323-1344, 2005.
    • (2005) J. Mach. Learn. Res. , vol.6 , pp. 1323-1344
    • Rousu, J.1    Shawe-Taylor, J.2
  • 13
    • 77957967988 scopus 로고    scopus 로고
    • Fast protein homology and fold detection with sparse spatial sample kernels
    • Pavel Kuksa, Pai-Hsi Huang, and Vladimir Pavlovic. Fast protein homology and fold detection with sparse spatial sample kernels. In ICPR 2008, 2008.
    • (2008) ICPR 2008
    • Kuksa, P.1    Huang, P.2    Pavlovic, V.3
  • 14
    • 0035014847 scopus 로고    scopus 로고
    • Multi-class protein fold recognition using support vector machines and neural networks
    • Chris H.Q. Ding and Inna Dubchak. Multi-class protein fold recognition using support vector machines and neural networks. Bioinformatics, 17(4):349-358, 2001. (Pubitemid 32421929)
    • (2001) Bioinformatics , vol.17 , Issue.4 , pp. 349-358
    • Ding, C.H.Q.1    Dubchak, I.2
  • 16
    • 1542439119 scopus 로고    scopus 로고
    • A comparative study on content-based music genre classification
    • New York, NY, USA. ACM
    • Tao Li, Mitsunori Ogihara, and Qi Li. A comparative study on content-based music genre classification. In SIGIR '03, pages 282-289, New York, NY, USA, 2003. ACM.
    • (2003) SIGIR '03 , pp. 282-289
    • Li, T.1    Ogihara, M.2    Li, Q.3
  • 17
    • 58049178302 scopus 로고    scopus 로고
    • On the role of local matching for efficient semisupervised protein sequence classification
    • Pavel Kuksa, Pai-Hsi Huang, and Vladimir Pavlovic. On the role of local matching for efficient semisupervised protein sequence classification. In BIBM, 2008.
    • (2008) BIBM
    • Kuksa, P.1    Huang, P.2    Pavlovic, V.3
  • 18
    • 0034048878 scopus 로고    scopus 로고
    • A discriminative framework for detecting remote protein homologies
    • DOI 10.1089/10665270050081405
    • Tommi Jaakkola, Mark Diekhans, and David Haussler. A discriminative framework for detecting remote protein homologies. In Journal of Computational Biology, volume 7, pages 95-114, 2000. (Pubitemid 30412163)
    • (2000) Journal of Computational Biology , vol.7 , Issue.1-2 , pp. 95-114
    • Jaakkola, T.1    Diekhans, M.2    Haussler, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.