-
3
-
-
84878598642
-
Selection of training data for neural networks by a genetic algorithm
-
C.R. Reeves, and S.J. Taylor Selection of training data for neural networks by a genetic algorithm Par. Prob. Solv. Nat. 1998 633 642
-
(1998)
Par. Prob. Solv. Nat.
, pp. 633-642
-
-
Reeves, C.R.1
Taylor, S.J.2
-
4
-
-
0008181958
-
Impact of learning set quality and size on decision tree perfomances
-
M. Sebban, T. Nock, J.H. Chauchat, and R. Rakotomalala Impact of learning set quality and size on decision tree perfomances Int. J. Comp. Syst. Sig. 1 1 2000 85 105
-
(2000)
Int. J. Comp. Syst. Sig.
, vol.1
, Issue.1
, pp. 85-105
-
-
Sebban, M.1
Nock, T.2
Chauchat, J.H.3
Rakotomalala, R.4
-
5
-
-
33644647619
-
A data selection method for probabilistic neural networks
-
B. Bolat, and T. Yildirim A data selection method for probabilistic neural networks J. Electr. Electron. Eng. 4 2 2004 1137 1140
-
(2004)
J. Electr. Electron. Eng.
, vol.4
, Issue.2
, pp. 1137-1140
-
-
Bolat, B.1
Yildirim, T.2
-
6
-
-
0343081513
-
Reduction techniques for instance-based learning algorithms
-
D.R. Wilson, and T.R. Martinez Reduction techniques for instance-based learning algorithms Machine Learn. 38 2000 257 268
-
(2000)
Machine Learn.
, vol.38
, pp. 257-268
-
-
Wilson, D.R.1
Martinez, T.R.2
-
7
-
-
0036555992
-
Finding representative patterns with ordered projections
-
J.C. Riquelme, J.S. Aguilar, and M. Toro Finding representative patterns with ordered projections Pattern Rec. 36 4 2003 93 102
-
(2003)
Pattern Rec.
, vol.36
, Issue.4
, pp. 93-102
-
-
Riquelme, J.C.1
Aguilar, J.S.2
Toro, M.3
-
8
-
-
0346331906
-
A brief taxonomy and ranking of creative prototype reduction schemes
-
S.W. Kim, and B.J. Oommen A brief taxonomy and ranking of creative prototype reduction schemes Pattern Anal. Appl. 6 2003 232 244
-
(2003)
Pattern Anal. Appl.
, vol.6
, pp. 232-244
-
-
Kim, S.W.1
Oommen, B.J.2
-
9
-
-
0347895067
-
Analysis of new techniques to obtain quality training sets
-
J.S. Sanchez, R. Barandela, A.I. Marquez, R. Alejo, and J. Badenas Analysis of new techniques to obtain quality training sets Pattern Rec. Lett. 24 7 2003 1015 1022
-
(2003)
Pattern Rec. Lett.
, vol.24
, Issue.7
, pp. 1015-1022
-
-
Sanchez, J.S.1
Barandela, R.2
Marquez, A.I.3
Alejo, R.4
Badenas, J.5
-
10
-
-
18144451785
-
High training set size reduction by space partitioning and prototype abstraction
-
J.S. Sanchez High training set size reduction by space partitioning and prototype abstraction Pattern Rec. 37 2004 1561 1564
-
(2004)
Pattern Rec.
, vol.37
, pp. 1561-1564
-
-
Sanchez, J.S.1
-
11
-
-
22944450025
-
Design of nearest neighbor classifiers using an intelligent multi-objective evolutionary algorithm
-
J.H. Chen, H.M. Chen, and S.Y. Ho Design of nearest neighbor classifiers using an intelligent multi-objective evolutionary algorithm Lec. Notes Comp. Sci. 3157 2004 262 271
-
(2004)
Lec. Notes Comp. Sci.
, vol.3157
, pp. 262-271
-
-
Chen, J.H.1
Chen, H.M.2
Ho, S.Y.3
-
12
-
-
33644649292
-
Stratification for scaling up evolutionary prototype selection
-
submitted to publication
-
J.R. Cano, F. Herrera, M. Lozano, Stratification for scaling up evolutionary prototype selection, Pattern Rec. Lett., submitted to publication.
-
Pattern Rec. Lett.
-
-
Cano, J.R.1
Herrera, F.2
Lozano, M.3
-
13
-
-
35048842249
-
Editing training data for kNN classifiers with neural network ensemble
-
Y. Jiang, and Z.H. Zhou Editing training data for kNN classifiers with neural network ensemble Lec. Notes Comp. Sci. 3173 2004 356 361
-
(2004)
Lec. Notes Comp. Sci.
, vol.3173
, pp. 356-361
-
-
Jiang, Y.1
Zhou, Z.H.2
-
16
-
-
2442597364
-
Discovering interesting knowledge from a science and technology database with a genetic algorithm
-
W. Romao, A.A. Freitas, and I.M.S. Gimenes Discovering interesting knowledge from a science and technology database with a genetic algorithm Appl. Soft Comp. J. 4 2 2004 121 137
-
(2004)
Appl. Soft Comp. J.
, vol.4
, Issue.2
, pp. 121-137
-
-
Romao, W.1
Freitas, A.A.2
Gimenes, I.M.S.3
-
17
-
-
0347763609
-
Using evolutionary algorithms as instance selection for data reduction in kdd: An experimental study
-
J.R. Cano, F. Herrera, and M. Lozano Using evolutionary algorithms as instance selection for data reduction in kdd: an experimental study IEEE Trans. Comp. 7 6 2003 561 575
-
(2003)
IEEE Trans. Comp.
, vol.7
, Issue.6
, pp. 561-575
-
-
Cano, J.R.1
Herrera, F.2
Lozano, M.3
-
18
-
-
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 Found. Gen. Algorithms 1 1991 265 283
-
(1991)
Found. Gen. Algorithms
, vol.1
, pp. 265-283
-
-
Eshelman, L.J.1
-
24
-
-
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 Knowledge Discovery 6 2002 153 172
-
(2002)
Data Mining Knowledge Discovery
, vol.6
, pp. 153-172
-
-
Brighton, H.1
Mellish, C.2
-
27
-
-
0015346497
-
The reduced nearest neighbour rule
-
G.W. Gates The reduced nearest neighbour rule IEEE Trans. Inform. Theory 18 5 1972 431 433
-
(1972)
IEEE Trans. Inform. Theory
, vol.18
, Issue.5
, pp. 431-433
-
-
Gates, G.W.1
-
28
-
-
0016569790
-
An algorithm for a selective nearest neighbour decision rule
-
G.L. Ritter, H.B. Woodruff, S.R. Lowry, and T.L. Isenhour An algorithm for a selective nearest neighbour decision rule IEEE Trans. Inform. Theory 21 6 1975 665 669
-
(1975)
IEEE Trans. Inform. Theory
, vol.21
, Issue.6
, pp. 665-669
-
-
Ritter, G.L.1
Woodruff, H.B.2
Lowry, S.R.3
Isenhour, T.L.4
-
30
-
-
0000777639
-
The condensed nearest neighbour rule
-
P.E. Hart The condensed nearest neighbour rule IEEE Trans. Inform. Theory 18 3 1968 431 433
-
(1968)
IEEE Trans. Inform. Theory
, vol.18
, Issue.3
, pp. 431-433
-
-
Hart, P.E.1
|