-
1
-
-
0003909532
-
-
US Air Force School of Aviation Medicine Technical Report 4 No. 3
-
E. Fix, J.L. Hodges, Discriminatory Analysis, Nonparametric Discrimination: Consistency Properties, US Air Force School of Aviation Medicine Technical Report 4 No. 3, 1951, p. 477.
-
(1951)
Discriminatory Analysis, Nonparametric Discrimination: Consistency Properties
, pp. 477
-
-
Fix, E.1
Hodges, J.L.2
-
3
-
-
84926662675
-
Nearest neighbor pattern classification
-
T. Cover, and P. Hart Nearest neighbor pattern classification IEEE Trans. Inf. Theory 13 1 1967 21 27 10.1109/TIT.1967.1053964
-
(1967)
IEEE Trans. Inf. Theory
, vol.13
, Issue.1
, pp. 21-27
-
-
Cover, T.1
Hart, P.2
-
4
-
-
0004255908
-
-
1st edition McGraw-Hill, Inc. New York, NY, USA
-
T.M. Mitchell Machine Learning 1st edition 1997 McGraw-Hill, Inc. New York, NY, USA
-
(1997)
Machine Learning
-
-
Mitchell, T.M.1
-
5
-
-
84856161441
-
Prototype selection for nearest neighbor classification taxonomy and empirical study
-
S. Garcia, J. Derrac, J. Cano, and F. Herrera Prototype selection for nearest neighbor classification taxonomy and empirical study IEEE Trans. Pattern Anal. Mach. Intell. 34 3 2012 417 435 10.1109/TPAMI.2011.142
-
(2012)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.34
, Issue.3
, pp. 417-435
-
-
Garcia, S.1
Derrac, J.2
Cano, J.3
Herrera, F.4
-
6
-
-
84872775741
-
On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection
-
J. Derrac, N. Verbiest, S. García, C. Cornelis, and F. Herrera On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection Soft Comput. 17 2 2013 223 238
-
(2013)
Soft Comput.
, vol.17
, Issue.2
, pp. 223-238
-
-
Derrac, J.1
Verbiest, N.2
García, S.3
Cornelis, C.4
Herrera, F.5
-
7
-
-
84906871745
-
-
Springer Cham, Switzerland
-
S. García, J. Luengo, and F. Herrera Data Preprocessing in Data Mining, of Intelligent Systems Reference Library vol. 72 2015 Springer Cham, Switzerland 10.1007/978-3-319-10247-4
-
(2015)
Data Preprocessing in Data Mining, of Intelligent Systems Reference Library
, vol.72
-
-
García, S.1
Luengo, J.2
Herrera, F.3
-
8
-
-
79955590709
-
Prototype reduction techniques a comparison among different approaches
-
L. Nanni, and A. Lumini Prototype reduction techniques a comparison among different approaches Expert Syst. Appl. 38 9 2011 11820 11828 10.1016/j.eswa.2011.03.070
-
(2011)
Expert Syst. Appl.
, vol.38
, Issue.9
, pp. 11820-11828
-
-
Nanni, L.1
Lumini, A.2
-
9
-
-
84655176618
-
A taxonomy and experimental study on prototype generation for nearest neighbor classification
-
I. Triguero, J. Derrac, S. García, and F. Herrera A taxonomy and experimental study on prototype generation for nearest neighbor classification IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev. 42 1 2012 86 100 10.1109/TSMCC.2010.2103939
-
(2012)
IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev.
, vol.42
, Issue.1
, pp. 86-100
-
-
Triguero, I.1
Derrac, J.2
García, S.3
Herrera, F.4
-
10
-
-
84904730620
-
Boosting instance selection algorithms
-
N. García-Pedrajas, and A. De Haro-García Boosting instance selection algorithms Knowl. Based Syst. 67 2014 342 360 10.1016/j.knosys.2014.04.021
-
(2014)
Knowl. Based Syst.
, vol.67
, pp. 342-360
-
-
García-Pedrajas, N.1
De Haro-García, A.2
-
11
-
-
84871924281
-
Genetic algorithms in feature and instance selection
-
C.-F. Tsai, W. Eberle, and C.-Y. Chu Genetic algorithms in feature and instance selection Knowl. Based Syst. 39 0 2013 240 247 10.1016/j.knosys.2012.11.005
-
(2013)
Knowl. Based Syst.
, vol.39
, Issue.0
, pp. 240-247
-
-
Tsai, C.-F.1
Eberle, W.2
Chu, C.-Y.3
-
12
-
-
81355127279
-
Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection
-
J. Derrac, C. Cornelis, S. García, and F. Herrera Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection Inf. Sci. 186 1 2012 73 92 10.1016/j.ins.2011.09.027
-
(2012)
Inf. Sci.
, vol.186
, Issue.1
, pp. 73-92
-
-
Derrac, J.1
Cornelis, C.2
García, S.3
Herrera, F.4
-
13
-
-
17444379003
-
Stratification for scaling up evolutionary prototype selection
-
J.R. Cano, F. Herrera, and M. Lozano Stratification for scaling up evolutionary prototype selection Pattern Recognit. Lett. 26 7 2005 953 963 10.1016/j.patrec.2004.09.043
-
(2005)
Pattern Recognit. Lett.
, vol.26
, Issue.7
, pp. 953-963
-
-
Cano, J.R.1
Herrera, F.2
Lozano, M.3
-
14
-
-
35648977602
-
Distributed Nearest Neighbor-Based Condensation of Very Large Data Sets
-
F. Angiulli, and G. Folino Distributed Nearest Neighbor-Based Condensation of Very Large Data Sets IEEE Trans. Knowl. Data Eng. 19 12 2007 1593 1606 10.1109/TKDE.2007.190665
-
(2007)
IEEE Trans. Knowl. Data Eng.
, vol.19
, Issue.12
, pp. 1593-1606
-
-
Angiulli, F.1
Folino, G.2
-
15
-
-
84931162639
-
The condensed nearest neighbor rule (corresp.)
-
P. Hart The condensed nearest neighbor rule (corresp.) IEEE Trans. Inf. Theory 14 3 1968 515 516 10.1109/TIT.1968.1054155
-
(1968)
IEEE Trans. Inf. Theory
, vol.14
, Issue.3
, pp. 515-516
-
-
Hart, P.1
-
16
-
-
0015361129
-
Asymptotic properties of nearest neighbor rules using edited data
-
D.L. Wilson Asymptotic properties of nearest neighbor rules using edited data IEEE Trans. Syst. Man Cybern. 2 3 1972 408 421 10.1109/TSMC.1972.4309137
-
(1972)
IEEE Trans. Syst. Man Cybern.
, vol.2
, Issue.3
, pp. 408-421
-
-
Wilson, D.L.1
-
19
-
-
35348902771
-
Fast nearest neighbor condensation for large data sets classification
-
F. Angiulli Fast nearest neighbor condensation for large data sets classification IEEE Trans. Knowl. Data Eng. 19 11 2007 1450 1464
-
(2007)
IEEE Trans. Knowl. Data Eng.
, vol.19
, Issue.11
, pp. 1450-1464
-
-
Angiulli, F.1
-
20
-
-
84856557853
-
New rank methods for reducing the size of the training set using the nearest neighbor rule
-
J.R. Rico-Juan, and J.M. Iñesta New rank methods for reducing the size of the training set using the nearest neighbor rule Pattern Recognit. Lett. 33 5 2012 654 660
-
(2012)
Pattern Recognit. Lett.
, vol.33
, Issue.5
, pp. 654-660
-
-
Rico-Juan, J.R.1
Iñesta, J.M.2
-
21
-
-
0001569643
-
Instance pruning techniques
-
D.R. Wilson, T.R. Martinez, Instance pruning techniques, in: Proceedings of the Fourteenth International Conference on Machine Learning, ICML '97, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1997, pp. 403-411.
-
(1997)
Proceedings of the Fourteenth International Conference on Machine Learning, ICML '97, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA
, pp. 403-411
-
-
Wilson, D.R.1
Martinez, T.R.2
-
22
-
-
84956859538
-
On the consistency of information filters for lazy learning algorithms
-
J. Zytkow, J. Rauch, Springer Berlin, Heidelberg
-
H. Brighton, and C. Mellish On the consistency of information filters for lazy learning algorithms J. Zytkow, J. Rauch, Principles of Data Mining and Knowledge Discovery, of Lecture Notes in Computer Science vol. 1704 1999 Springer Berlin, Heidelberg 283 288 10.1007/978-3-540-48247-5-31
-
(1999)
Principles of Data Mining and Knowledge Discovery, of Lecture Notes in Computer Science
, vol.1704
, pp. 283-288
-
-
Brighton, H.1
Mellish, C.2
-
23
-
-
0001334115
-
The CHC adaptive search algorithm: How to have safe search when engaging in nontraditional genetic recombination
-
L.J. Eshelman, The CHC adaptive search algorithm: How to have safe search when engaging in nontraditional genetic recombination, in: Proceedings of the First Workshop on Foundations of Genetic Algorithms. Bloomington Campus, IN, USA, July 15-18, 1990, pp. 265-283.
-
(1990)
Proceedings of the First Workshop on Foundations of Genetic Algorithms. Bloomington Campus, IN, USA, July 15-18
, pp. 265-283
-
-
Eshelman, L.J.1
-
24
-
-
33644641221
-
On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining
-
J.R. Cano, F. Herrera, and M. Lozano On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining Appl. Soft Comput. 6 3 2006 323 332 10.1016/j.asoc.2005.02.006
-
(2006)
Appl. Soft Comput.
, vol.6
, Issue.3
, pp. 323-332
-
-
Cano, J.R.1
Herrera, F.2
Lozano, M.3
-
25
-
-
0028428774
-
A database for handwritten text recognition research
-
J. Hull A database for handwritten text recognition research IEEE Trans. Pattern Anal. Mach. Intell. 16 5 1994 550 554 10.1109/34.291440
-
(1994)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.16
, Issue.5
, pp. 550-554
-
-
Hull, J.1
-
26
-
-
84909719934
-
On the encoding of arbitrary geometric configurations
-
H. Freeman On the encoding of arbitrary geometric configurations IRE Trans. Electron. Comput. 10 2 1961 260 268 10.1109/TEC.1961.5219197
-
(1961)
IRE Trans. Electron. Comput.
, vol.10
, Issue.2
, pp. 260-268
-
-
Freeman, H.1
-
27
-
-
0015960104
-
The string-to-string correction problem
-
R.A. Wagner, and M.J. Fischer The string-to-string correction problem J. ACM 21 1 1974 168 173 10.1145/321796.321811
-
(1974)
J. ACM
, vol.21
, Issue.1
, pp. 168-173
-
-
Wagner, R.A.1
Fischer, M.J.2
-
28
-
-
84919897589
-
Recognition of pen-based music notation: The HOMUS dataset
-
J. Calvo-Zaragoza, J. Oncina, Recognition of pen-based music notation: the HOMUS dataset, in: Proceedings of the 22nd International Conference on Pattern Recognition, Stockholm, Sweden, 2014, pp. 3038-3043.
-
(2014)
Proceedings of the 22nd International Conference on Pattern Recognition, Stockholm, Sweden
, pp. 3038-3043
-
-
Calvo-Zaragoza, J.1
Oncina, J.2
-
29
-
-
0003036581
-
Dynamic programming algorithm optimization for spoken word recognition
-
A. Waibel, K.-F. Lee (Eds.)
-
H. Sakoe, S. Chiba, Dynamic programming algorithm optimization for spoken word recognition, in: A. Waibel, K.-F. Lee (Eds.), Readings in Speech Recognition, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1990, pp. 159-165.
-
(1990)
Readings in Speech Recognition, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA
, pp. 159-165
-
-
Sakoe, H.1
Chiba, S.2
-
30
-
-
84898932626
-
Learning with noisy labels
-
N. Natarajan, I. Dhillon, P. Ravikumar, A. Tewari, Learning with noisy labels, in: Advances in Neural Information Processing Systems, 2013, pp. 1196-1204.
-
(2013)
Advances in Neural Information Processing Systems
, pp. 1196-1204
-
-
Natarajan, N.1
Dhillon, I.2
Ravikumar, P.3
Tewari, A.4
-
31
-
-
55549103698
-
KEEL a software tool to assess evolutionary algorithms to data mining problems
-
J. Alcalá-Fdez, L. Sánchez, S. García, M.J.D. Jesus, S. Ventura, J.M. Garrell, J. Otero, J. Bacardit, V.M. Rivas, J.C. Fernández, and F. Herrera KEEL a software tool to assess evolutionary algorithms to data mining problems Soft Comput. 13 3 2009 307 318
-
(2009)
Soft Comput.
, vol.13
, Issue.3
, pp. 307-318
-
-
Alcalá-Fdez, J.1
Sánchez, L.2
García, S.3
Jesus, M.J.D.4
Ventura, S.5
Garrell, J.M.6
Otero, J.7
Bacardit, J.8
Rivas, V.M.9
Fernández, J.C.10
Herrera, F.11
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