-
1
-
-
0003264320
-
Reference set thinning for the k-nearest neighbor decision rule
-
Bhattacharya, B., Kaller, D., 1998. Reference set thinning for the k-nearest neighbor decision rule. In: Proc. IEEE Internat. Conf. on Pattern Recognition, vol. 1, pp. 238-242
-
(1998)
Proc. IEEE Internat. Conf. on Pattern Recognition
, vol.1
, pp. 238-242
-
-
Bhattacharya, B.1
Kaller, D.2
-
3
-
-
0035359888
-
Another move towards the minimum consistent subset: A tabu search approach to the condensed nearest neighbor rule
-
Cerveron V. Ferri F. Another move towards the minimum consistent subset: A tabu search approach to the condensed nearest neighbor rule IEEE Trans. Systems, Man Cybernet. B 31 3 2001 408-413
-
(2001)
IEEE Trans. Systems, Man Cybernet. B
, vol.31
, Issue.3
, pp. 408-413
-
-
Cerveron, V.1
Ferri, F.2
-
4
-
-
0018492515
-
The condensed nearest neighbor rule using the concept of mutual nearest neighbourhood
-
Chidananda-Gowda K. Krishna G. The condensed nearest neighbor rule using the concept of mutual nearest neighbourhood IEEE Trans. Inform. Theory 25 4 1979 488-490
-
(1979)
IEEE Trans. Inform. Theory
, vol.25
, Issue.4
, pp. 488-490
-
-
Chidananda-Gowda, K.1
Krishna, G.2
-
6
-
-
84926662675
-
Nearest neighbor pattern classification
-
Cover T.M. Hart P.E. Nearest neighbor pattern classification IEEE Trans. Inform. Theory 13 1 1967 21-27
-
(1967)
IEEE Trans. Inform. Theory
, vol.13
, Issue.1
, pp. 21-27
-
-
Cover, T.M.1
Hart, P.E.2
-
7
-
-
0028385080
-
Minimal consistent set (MCS) identification for optimal nearest neighbor decision systems design
-
Dasarathy B. Minimal consistent set (MCS) identification for optimal nearest neighbor decision systems design IEEE Trans. Systems Man Cybernet. 24 3 1994 511-517
-
(1994)
IEEE Trans. Systems Man Cybernet.
, vol.24
, Issue.3
, pp. 511-517
-
-
Dasarathy, B.1
-
10
-
-
0015346497
-
The reduced nearest neighbor rule
-
Gates G.W. The reduced nearest neighbor rule IEEE Trans. Inform. Theory 18 3 1972 431-433
-
(1972)
IEEE Trans. Inform. Theory
, vol.18
, Issue.3
, pp. 431-433
-
-
Gates, G.W.1
-
11
-
-
84931162639
-
The condensed nearest neighbor rule
-
Hart P.E. The condensed nearest neighbor rule IEEE Trans. Inform. Theory 14 3 1968 515-516
-
(1968)
IEEE Trans. Inform. Theory
, vol.14
, Issue.3
, pp. 515-516
-
-
Hart, P.E.1
-
12
-
-
0002714543
-
Making large-scale svm learning practical
-
B. Schölkopf, C. Burges, A. Smola (Eds.), MIT Press
-
Joachims T. Making large-scale svm learning practical Schölkopf B. Burges C. Smola A. Advances in Kernel Methods--Support Vector Learning 1999 MIT Press
-
(1999)
Advances in Kernel Methods - Support Vector Learning
-
-
Joachims, T.1
-
13
-
-
0037277806
-
Fast minimization of the structural risk by nearest neighbor rule
-
Karaçal B. Krim A. Fast minimization of the structural risk by nearest neighbor rule IEEE Trans. Neural Networks 14 1 2003 127-137
-
(2003)
IEEE Trans. Neural Networks
, vol.14
, Issue.1
, pp. 127-137
-
-
Karaçal, B.1
Krim, A.2
-
14
-
-
0031999908
-
Nearest prototype classification: Clustering, genetic algorithms, or random search?
-
Kuncheva L. Bezdek J. Nearest prototype classification: Clustering, genetic algorithms, or random search? IEEE Trans. Systems Man Cybernet. 28 1 1998 160-164
-
(1998)
IEEE Trans. Systems Man Cybernet.
, vol.28
, Issue.1
, pp. 160-164
-
-
Kuncheva, L.1
Bezdek, J.2
-
17
-
-
0346451740
-
Kernel trick for distances
-
T. K. Leen, T. G. Dietterich, V Tresp (Eds.), : MIT Press Denver, CO, USA
-
Schölkopf B. Kernel trick for distances Leen T.K. Dietterich T.G. Tresp V. Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA 2000 301-307 MIT Press
-
(2000)
Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000
, pp. 301-307
-
-
Schölkopf, B.1
-
19
-
-
0016969272
-
An experiment with the edited nearest neighbor rule
-
Tomek I. An experiment with the edited nearest neighbor rule IEEE Trans. Systems Man Cybernet. 6 6 1976 448-452
-
(1976)
IEEE Trans. Systems Man Cybernet.
, vol.6
, Issue.6
, pp. 448-452
-
-
Tomek, I.1
-
21
-
-
84887252594
-
Support vector method for function approximation, regression estimation, and signal processing
-
Cambridge: MIT Press
-
Vapnik V. Golowich S. Smola A. Support vector method for function approximation, regression estimation, and signal processing Advances in Neural Information Systems vol. 9 1997 MIT Press Cambridge
-
(1997)
Advances in Neural Information Systems
, vol.9
-
-
Vapnik, V.1
Golowich, S.2
Smola, A.3
-
22
-
-
0343081513
-
Reduction techniques for instance-based learning algorithms
-
Wilson D.R. Martinez T.R. Reduction techniques for instance-based learning algorithms Machine Learn. 38 3 2000 257-286
-
(2000)
Machine Learn.
, vol.38
, Issue.3
, pp. 257-286
-
-
Wilson, D.R.1
Martinez, T.R.2
-
23
-
-
0036529857
-
Kernel nearest-neighbor algorithm
-
Yu K. Ji L. Zhang X. Kernel nearest-neighbor algorithm Neural Process. Lett. 15 2 2002 147-156
-
(2002)
Neural Process. Lett.
, vol.15
, Issue.2
, pp. 147-156
-
-
Yu, K.1
Ji, L.2
Zhang, X.3
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