-
1
-
-
33845502299
-
-
Blake, C., Keogh, E., Merz, C.J., UCI Repository of machine learning databases, University of California, Irvine.
-
-
-
-
2
-
-
84926662675
-
Nearest Neighbor Pattern Classification
-
Cover T.M., and 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
-
3
-
-
0017368046
-
On the possible orderings in the measurement selection problem
-
Cover T.M., and Van Campenhout J.M. On the possible orderings in the measurement selection problem. IEEE Trans. Syst. Man Cybernet. 7 9 (1997) 657-661
-
(1997)
IEEE Trans. Syst. Man Cybernet.
, vol.7
, Issue.9
, pp. 657-661
-
-
Cover, T.M.1
Van Campenhout, J.M.2
-
7
-
-
0000411214
-
Tabu search I
-
Glover F. Tabu search I. ORSA J. Comput. 1 3 (1989) 190-206
-
(1989)
ORSA J. Comput.
, vol.1
, Issue.3
, pp. 190-206
-
-
Glover, F.1
-
8
-
-
0001724713
-
Tabu search II
-
Glover F. Tabu search II. ORSA J. Comput. 2 1 (1990) 4-32
-
(1990)
ORSA J. Comput.
, vol.2
, Issue.1
, pp. 4-32
-
-
Glover, F.1
-
10
-
-
33845472277
-
-
Guverenir, H.A., and Akkus, A., 1997. Weighted K-Nearest Neighbor Classification on Feature Projection. In: Proceedings of the Twelfth International Symposium on Computer and Information Sciences. ISCIS XII.
-
-
-
-
14
-
-
0242712296
-
-
Korycinski, D., Crawford, M., Barnes, J.W, and Ghosh, J., 2003. Adaptive feature selection for hyperspectral data analysis using a binary hierarchical classifier and Tabu Search. In: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, IGARSS.
-
-
-
-
15
-
-
0033640901
-
Comparison of algorithms that select features for pattern classifiers
-
Kudo M., and Sklansky J. Comparison of algorithms that select features for pattern classifiers. Pattern Recogn. 33 (2000) 25-41
-
(2000)
Pattern Recogn.
, vol.33
, pp. 25-41
-
-
Kudo, M.1
Sklansky, J.2
-
16
-
-
0001920729
-
Similarity metric learning for a variable kernel classifier
-
Lowe D. Similarity metric learning for a variable kernel classifier. Neural Comput. 7 (1995)
-
(1995)
Neural Comput.
, vol.7
-
-
Lowe, D.1
-
18
-
-
0034319192
-
A Class-Dependent Weighted Dissimilarity Measure for Nearest Neighbor Classification Problems
-
Paredes R., and Vidal E. A Class-Dependent Weighted Dissimilarity Measure for Nearest Neighbor Classification Problems. Pattern Recogn. Lett. 21 12 (2000) 1027-1036
-
(2000)
Pattern Recogn. Lett.
, vol.21
, Issue.12
, pp. 1027-1036
-
-
Paredes, R.1
Vidal, E.2
-
19
-
-
33845501644
-
-
Puch, W.F. et al., 1993. Further research on feature selection and classification using genetic algorithms. In: Proceedings of the Fifth International Conference on Genetic Algorithms, ICGA.
-
-
-
-
20
-
-
0028547556
-
Floating search methods in feature selection
-
Pudil P., Novovicova J., and Kittler J. Floating search methods in feature selection. Pattern Recogn. Lett. 15 Nov (1994) 1119-1125
-
(1994)
Pattern Recogn. Lett.
, vol.15
, Issue.Nov
, pp. 1119-1125
-
-
Pudil, P.1
Novovicova, J.2
Kittler, J.3
-
22
-
-
0034227313
-
Dimensionality Reduction using Genetic Algorithms
-
Raymer M.L., et al. Dimensionality Reduction using Genetic Algorithms. IEEE Trans. Evolution. Comput. 4 2 (2000) 164-171
-
(2000)
IEEE Trans. Evolution. Comput.
, vol.4
, Issue.2
, pp. 164-171
-
-
Raymer, M.L.1
-
23
-
-
84948685841
-
-
Roula, M.A., et al., 2002. A multispectral computer vision system for automatic grading of prostatic neoplasia. In: IEEE International Symposium on Biomedical lmaging.
-
-
-
-
25
-
-
0024895461
-
A note on genetic algorithms for large-scale feature selection
-
Siedlecki W., and Sklansy J. A note on genetic algorithms for large-scale feature selection. Pattern Recogn. Lett. 10 11 (1989) 335-347
-
(1989)
Pattern Recogn. Lett.
, vol.10
, Issue.11
, pp. 335-347
-
-
Siedlecki, W.1
Sklansy, J.2
-
26
-
-
33845508051
-
-
Statlog Corpora. Dept. Statistics and Modelling Science (Stams). Stratchclyde University. Available from: .
-
-
-
-
27
-
-
33845496757
-
-
Tahir, M.A. et al., 2005. A Novel Prostate Cancer Classification Technique using Intermediate Memory Tabu Search Eurasip Journal on Applied Signal Processing, Special Issue: Advances in Intelligent Vision Systems: Methods and Applications (ForthComing).
-
-
-
-
28
-
-
10044247069
-
-
Tahir, M.A., Bouridane, A., Kurugollu, F., Amira, A., 2004a. Feature Selection using Tabu Search for Improving the Classification Rate of Prostate Needle Biopsies. In: Proc. 17th International Conference on Pattern Recognition (ICPR 2004), Cambridge, UK.
-
-
-
-
29
-
-
35048876802
-
-
Tahir, M.A., Bouridane, A., Kurugollu, F., 2004b. Simulataneous Feature Selection and Weigthing for Nearest Neighbor Using Tabu Search. In: Lecture Notes in Computer Science (LNCS 3177), 5th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2004), Exeter, UK.
-
-
-
-
30
-
-
0031073477
-
A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms
-
Wettschereck D., Aha D.W., and Mohri T. A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms. Artif. Intell. Rev. 11 1-5 (1997) 273-314
-
(1997)
Artif. Intell. Rev.
, vol.11
, Issue.1-5
, pp. 273-314
-
-
Wettschereck, D.1
Aha, D.W.2
Mohri, T.3
-
31
-
-
0015125457
-
A direct method of nonparametric measurement selection
-
Whitney A.W. A direct method of nonparametric measurement selection. IEEE Trans. Comput. 20 9 (1971) 1100-1103
-
(1971)
IEEE Trans. Comput.
, vol.20
, Issue.9
, pp. 1100-1103
-
-
Whitney, A.W.1
-
32
-
-
0035294798
-
Feature selection using Tabu Search method
-
Zhang H., and Sun G. Feature selection using Tabu Search method. Pattern Recog. 35 (2002) 701-711
-
(2002)
Pattern Recog.
, vol.35
, pp. 701-711
-
-
Zhang, H.1
Sun, G.2
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