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Volumn , Issue , 2004, Pages

Efficient exact k-NN and nonparametric classification in high dimensions

Author keywords

[No Author keywords available]

Indexed keywords

HIGH DIMENSIONS; HIGH-DIMENSIONAL; K-NEAREST NEIGHBOR CLASSIFIER; K-NN CLASSIFICATIONS; NONPARAMETRIC CLASSIFICATION; REAL-WORLD DATASETS; SUPPORT VECTOR MACHINE CLASSIFIERS; TREE ALGORITHMS;

EID: 84898942146     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (19)
  • 1
    • 0032201716 scopus 로고    scopus 로고
    • An optimal algorithm for approximate nearest neighbor searching fixed dimensions
    • S. Arya, D. Mount, N. Netanyahu, R. Silverman, and A. Wu. An optimal algorithm for approximate nearest neighbor searching fixed dimensions. Journal of the ACM, 45(6):891-923, 1998.
    • (1998) Journal of the ACM , vol.45 , Issue.6 , pp. 891-923
    • Arya, S.1    Mount, D.2    Netanyahu, N.3    Silverman, R.4    Wu, A.5
  • 3
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. Burges. A tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery, 2(2):955-974, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 955-974
    • Burges, C.1
  • 8
    • 84899027721 scopus 로고    scopus 로고
    • N-body problems in statistical learning
    • Todd K. Leen, Thomas G. Dietterich, and Volker Tresp, editors, (December 2000). MIT Press
    • A. Gray and A. W. Moore. N-Body Problems in Statistical Learning. In Todd K. Leen, Thomas G. Dietterich, and Volker Tresp, editors, Advances in Neural Information Processing Systems 13 (December 2000). MIT Press, 2001.
    • (2001) Advances in Neural Information Processing Systems , vol.13
    • Gray, A.1    Moore, A.W.2
  • 10
    • 0001686163 scopus 로고
    • The distribution of distances in a hypersphere
    • J. M. Hammersley. The Distribution of Distances in a Hypersphere. Annals of Mathematical Statistics, 21:447-452, 1950.
    • (1950) Annals of Mathematical Statistics , vol.21 , pp. 447-452
    • Hammersley, J.M.1
  • 12
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale support vector machine learning practical
    • A. Smola B. Scḧolkopf, C. Burges, editor, MIT Press, Cambridge, MA
    • T. Joachims. Making large-scale support vector machine learning practical. In A. Smola B. Scḧolkopf, C. Burges, editor, Advances in Kernel Methods: Support Vector Machines. MIT Press, Cambridge, MA, 1998.
    • (1998) Advances in Kernel Methods: Support Vector Machines
    • Joachims, T.1
  • 13
    • 1942419246 scopus 로고    scopus 로고
    • The anchors hierarchy: Using the triangle inequality to survive high- dimensional data
    • AAAI Press
    • A. W. Moore. The Anchors Hierarchy: Using the Triangle Inequality to Survive High- Dimensional Data. In Twelfth Conference on Uncertainty in Artificial Intelligence. AAAI Press, 2000.
    • (2000) Twelfth Conference on Uncertainty in Artificial Intelligence
    • Moore, A.W.1
  • 14
    • 0043023536 scopus 로고
    • Efficient algorithms with neural network behaviour
    • S. M. Omohundro. Efficient Algorithms with Neural Network Behaviour. Journal of Complex Systems, 1(2):273-347, 1987.
    • (1987) Journal of Complex Systems , vol.1 , Issue.2 , pp. 273-347
    • Omohundro, S.M.1
  • 15
    • 0003241739 scopus 로고
    • Bumptrees for efficient function, constraint, and classification learning
    • R. P. Lippmann, J. E. Moody, and D. S. Touretzky, editors, Morgan Kaufmann
    • S. M. Omohundro. Bumptrees for Efficient Function, Constraint, and Classification Learning. In R. P. Lippmann, J. E. Moody, and D. S. Touretzky, editors, Advances in Neural Information Processing Systems 3. Morgan Kaufmann, 1991.
    • (1991) Advances in Neural Information Processing Systems , vol.3
    • Omohundro, S.M.1
  • 18
    • 0026256261 scopus 로고
    • Satisfying general proximity/similarity queries with metric trees
    • J. K. Uhlmann. Satisfying general proximity/similarity queries with metric trees. Information Processing Letters, 40:175-179, 1991.
    • (1991) Information Processing Letters , vol.40 , pp. 175-179
    • Uhlmann, J.K.1
  • 19
    • 0000378338 scopus 로고    scopus 로고
    • A novel variable selection QSAR approach based on the k-nearest neighbor principle
    • W. Zheng and A. Tropsha. A Novel Variable Selection QSAR Approach based on the K-Nearest Neighbor Principle. J. Chem. Inf.Comput. Sci., 40(1):185-194, 2000.
    • (2000) J. Chem. Inf.Comput. Sci. , vol.40 , Issue.1 , pp. 185-194
    • Zheng, W.1    Tropsha, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.