-
2
-
-
35348902771
-
Fast nearest neighbor condensation for large data sets classification
-
ISSN 1041-4347
-
F. Angiulli. Fast nearest neighbor condensation for large data sets classification. IEEE Transactions on Knowledge and Data Engineering, 19(11): 1450-1464, 2007. ISSN 1041-4347.
-
(2007)
IEEE Transactions on Knowledge and Data Engineering
, vol.19
, Issue.11
, pp. 1450-1464
-
-
Angiulli, F.1
-
3
-
-
0000435292
-
The ordering of multivariate data
-
V. Barnett. The ordering of multivariate data. J. Roy. Statist. Soc., Ser. A 139(3):318-355, 1976.
-
(1976)
J. Roy. Statist. Soc., Ser. A
, vol.139
, Issue.3
, pp. 318-355
-
-
Barnett, V.1
-
4
-
-
46249119473
-
Proceedings of the 14th International Conference on Pattern Recognition
-
1:238-243
-
B. Bhattacharya and D. Kaller. Reference set thinning for the k-nearest neighbor decision rule. Proceedings of the 14th International Conference on Pattern Recognition, (1):238-243, 1998.
-
(1998)
-
-
Bhattacharya, B.1
Kaller, D.2
-
5
-
-
33646719102
-
-
B. Bhattacharya, K. Mukherjee, and G. Toussaint. Geometric decision rules for instance-based learning problems. In Proceedings of the 1st International Conference on Pattern Recognition and Machine Intelligence (PReMI,05), number LNCS 3776, pages 60-69. Springer, 2005.
-
B. Bhattacharya, K. Mukherjee, and G. Toussaint. Geometric decision rules for instance-based learning problems. In Proceedings of the 1st International Conference on Pattern Recognition and Machine Intelligence (PReMI,05), number LNCS 3776, pages 60-69. Springer, 2005.
-
-
-
-
8
-
-
0036104537
-
Advances in instance selection for instance-based learning algorithms
-
H. Brighton and C. Mellish. Advances in instance selection for instance-based learning algorithms. Data Mining and Knowledge Discovery, (6): 153-172, 2002.
-
(2002)
Data Mining and Knowledge Discovery
, vol.6
, pp. 153-172
-
-
Brighton, H.1
Mellish, C.2
-
12
-
-
0028385080
-
Minimal consistent set (mes) identification for optimal nearest neighbor decision systems design
-
B. V. Dasarathy. Minimal consistent set (mes) identification for optimal nearest neighbor decision systems design. IEEE Transactions on Systems, Man, and Cybernetics, 24(3):511-517, 1994.
-
(1994)
IEEE Transactions on Systems, Man, and Cybernetics
, vol.24
, Issue.3
, pp. 511-517
-
-
Dasarathy, B.V.1
-
13
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
J. Demsar. Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research, 7:1-30, 2006.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1-30
-
-
Demsar, J.1
-
14
-
-
18144376645
-
The use of domination number of a random proximity catch digraph for testing spatial patterns of segregation and association
-
J. DeVinney and C.E. Priebe. The use of domination number of a random proximity catch digraph for testing spatial patterns of segregation and association. Statistics and Probability Letters, 73 (1):37-50, 2005.
-
(2005)
Statistics and Probability Letters
, vol.73
, Issue.1
, pp. 37-50
-
-
DeVinney, J.1
Priebe, C.E.2
-
15
-
-
33745738556
-
A new family of proximity graphs: Class cover catch digraphs
-
J. DeVinney and C.E. Priebe. A new family of proximity graphs: Class cover catch digraphs. Discrete Applied Mathematics, 154(14): 1975-1982, 2006.
-
(2006)
Discrete Applied Mathematics
, vol.154
, Issue.14
, pp. 1975-1982
-
-
DeVinney, J.1
Priebe, C.E.2
-
16
-
-
67649670115
-
Fast algorithms for classification using class cover catch digraphs
-
E.J. Wegman D.J. Marchette and C.E. Priebe. Fast algorithms for classification using class cover catch digraphs. Handbook of Statistics, 24:331-358, 2005.
-
(2005)
Handbook of Statistics
, vol.24
, pp. 331-358
-
-
Wegman, E.J.1
Marchette, D.J.2
Priebe, C.E.3
-
20
-
-
9444236865
-
Comparison of instances selection algorithms i. algorithms survey
-
Springer
-
N. Jankowski and M. Grochowski. Comparison of instances selection algorithms i. algorithms survey. In Artificial Intelligence and Soft Computing, pages 598-603. Springer, 2004a.
-
(2004)
Artificial Intelligence and Soft Computing
, pp. 598-603
-
-
Jankowski, N.1
Grochowski, M.2
-
21
-
-
9444268167
-
Comparison of instances selection algorithms ii. results and comments
-
Springer
-
N. Jankowski and M. Grochowski. Comparison of instances selection algorithms ii. results and comments. In Artificial Intelligence and Soft Computing, pages 580-585. Springer, 2004b.
-
(2004)
Artificial Intelligence and Soft Computing
, pp. 580-585
-
-
Jankowski, N.1
Grochowski, M.2
-
22
-
-
0026924875
-
Relative neighborhood graphs and their relatives
-
J.W. Jaromczyk and G.T. Toussaint. Relative neighborhood graphs and their relatives. P-IEEE, 80: 1502-1517, 1992.
-
(1992)
P-IEEE
, vol.80
, pp. 1502-1517
-
-
Jaromczyk, J.W.1
Toussaint, G.T.2
-
23
-
-
0037899011
-
Classification using class cover catch digraphs
-
C.D.J. Marchette, C.E. Priebe, D.A. Socolinsky, and J.G. DeVinney. Classification using class cover catch digraphs. Journal of classification, 20(1):3-23, 2003.
-
(2003)
Journal of classification
, vol.20
, Issue.1
, pp. 3-23
-
-
Marchette, C.D.J.1
Priebe, C.E.2
Socolinsky, D.A.3
DeVinney, J.G.4
-
24
-
-
33646718365
-
Application of the gabriel graph to instance-based learning
-
Simon Fraser University
-
K. Mukherjee. Application of the gabriel graph to instance-based learning. In M.sc. project, School of Computing Science, Simon Fraser University, 2004.
-
(2004)
M.sc. project, School of Computing Science
-
-
Mukherjee, K.1
-
25
-
-
27744546228
-
Prototype selection for dissimilarity-based classifiers
-
E. Pekalska, R.P. W. Duin, and P. Paclík. Prototype selection for dissimilarity-based classifiers. Pattern Recognition, 39(2): 189-208, 2006.
-
(2006)
Pattern Recognition
, vol.39
, Issue.2
, pp. 189-208
-
-
Pekalska, E.1
Duin, R.P.W.2
Paclík, P.3
-
26
-
-
0342502195
-
Soft margins for AdaBoost
-
G. Ratsch, T. Onoda, and K.-R. Müller. Soft margins for AdaBoost. Machine Learning, 42(3): 287-320, 2001.
-
(2001)
Machine Learning
, vol.42
, Issue.3
, pp. 287-320
-
-
Ratsch, G.1
Onoda, T.2
Müller, K.-R.3
-
27
-
-
0016569790
-
An algorithm for a selective nearest neighbor decision rule
-
G.L. Ritter, H.B. Woodruff, S.R. Lowry, and T.L. Isenhour. An algorithm for a selective nearest neighbor decision rule. IEEE Transactions on Information Theory, 21(6):665-669, 1975.
-
(1975)
IEEE Transactions on Information Theory
, vol.21
, Issue.6
, pp. 665-669
-
-
Ritter, G.L.1
Woodruff, H.B.2
Lowry, S.R.3
Isenhour, T.L.4
-
28
-
-
0031164017
-
Prototype selection for the nearest neighbour rule through proximity graphs
-
J.S. Sánchez, F. Pia, and F.J. Ferri. Prototype selection for the nearest neighbour rule through proximity graphs. Pattern Recognition Letters, 18:507-513, 1997.
-
(1997)
Pattern Recognition Letters
, vol.18
, pp. 507-513
-
-
Sánchez, J.S.1
Pia, F.2
Ferri, F.J.3
-
29
-
-
34047112206
-
A fast all nearest neighbor algorithm for applications involving large point-clouds
-
J. Sankaranarayanan, H. Samet, and A. Varshney. A fast all nearest neighbor algorithm for applications involving large point-clouds. Comput. Graph., 31(2): 157-174, 2007.
-
(2007)
Comput. Graph
, vol.31
, Issue.2
, pp. 157-174
-
-
Sankaranarayanan, J.1
Samet, H.2
Varshney, A.3
-
30
-
-
33847676236
-
Neighborhood property based pattern selection for support vector machines
-
H. Shin and S. Cho. Neighborhood property based pattern selection for support vector machines. Neural Computation, (19):816-855, 2007.
-
(2007)
Neural Computation
, vol.19
, pp. 816-855
-
-
Shin, H.1
Cho, S.2
-
31
-
-
0016969272
-
An experiment with the edited nearest-neighbor rule
-
I. Tomek. An experiment with the edited nearest-neighbor rule. IEEE Transactions on Systems, Man, and Cybernetics, 6(6):448-452, 1976.
-
(1976)
IEEE Transactions on Systems, Man, and Cybernetics
, vol.6
, Issue.6
, pp. 448-452
-
-
Tomek, I.1
-
34
-
-
38049184914
-
Avoiding boosting overfitting by removing "confusing" samples
-
Proceedings of the 18th European Conference on Machine Learning ECML
-
A. Vezhnevets and O. Barinova. Avoiding boosting overfitting by removing "confusing" samples. In Proceedings of the 18th European Conference on Machine Learning (ECML), volume 4701, pages 430-441. LNCS, 2007.
-
(2007)
LNCS
, vol.4701
, pp. 430-441
-
-
Vezhnevets, A.1
Barinova, O.2
-
35
-
-
0015361129
-
Asymptotic properties of nearest neighbor rules using edited data
-
D. L. Wilson. Asymptotic properties of nearest neighbor rules using edited data. IEEE Transactions on Systems, Man and Cybernetics, (2):408-420, 1972.
-
(1972)
IEEE Transactions on Systems, Man and Cybernetics
, vol.2
, pp. 408-420
-
-
Wilson, D.L.1
-
37
-
-
0343081513
-
Reduction techniques for instance-based learning algorithms
-
D.R. Wilson and T.R. Martinez. Reduction techniques for instance-based learning algorithms. Machine Learning, 38(3):257-286, 2000.
-
(2000)
Machine Learning
, vol.38
, Issue.3
, pp. 257-286
-
-
Wilson, D.R.1
Martinez, T.R.2
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