-
2
-
-
0032028297
-
Feature subset selection using a genetic algorithm
-
Yang J., and Honavar V. Feature subset selection using a genetic algorithm. IEEE Intelligent Systems 13 2 (1998) 44-49
-
(1998)
IEEE Intelligent Systems
, vol.13
, Issue.2
, pp. 44-49
-
-
Yang, J.1
Honavar, V.2
-
3
-
-
85099325734
-
Irrelevant features and the subset selection problem
-
G. John, R. Kohavi, K. Peger, Irrelevant features and the subset selection problem, in: Proceedings of the Eleventh International Conference on Machine Learning, 1994, pp. 121-129.
-
(1994)
Proceedings of the Eleventh International Conference on Machine Learning
, pp. 121-129
-
-
John, G.1
Kohavi, R.2
Peger, K.3
-
4
-
-
0031381525
-
Wrappers for feature subset selection
-
Kohavi R., and John G. Wrappers for feature subset selection. Artificial Intelligence 97 1-2 (1997) 273-324
-
(1997)
Artificial Intelligence
, vol.97
, Issue.1-2
, pp. 273-324
-
-
Kohavi, R.1
John, G.2
-
7
-
-
0030082551
-
The ant system: optimization by a colony of cooperating agents
-
Dorigo M., Maniezzo V., and Colorni A. The ant system: optimization by a colony of cooperating agents. IEEE Transactions on System, Man, and Cybernetics 26 1 (1996) 1-13
-
(1996)
IEEE Transactions on System, Man, and Cybernetics
, vol.26
, Issue.1
, pp. 1-13
-
-
Dorigo, M.1
Maniezzo, V.2
Colorni, A.3
-
8
-
-
0030759617
-
Ant colonies for the traveling salesman problem
-
Dorigo M., and Gambardella L.M. Ant colonies for the traveling salesman problem. BioSystems 43 (1997) 73-81
-
(1997)
BioSystems
, vol.43
, pp. 73-81
-
-
Dorigo, M.1
Gambardella, L.M.2
-
9
-
-
0031122887
-
Ant colony system: a cooperative learning approach to the traveling salesman problem
-
Dorigo M., and Gambardella L.M. Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Transactions on Evolutionary Computation 1 1 (1997) 53-66
-
(1997)
IEEE Transactions on Evolutionary Computation
, vol.1
, Issue.1
, pp. 53-66
-
-
Dorigo, M.1
Gambardella, L.M.2
-
11
-
-
0002329967
-
Ant colony optimization for resource-constrained project scheduling
-
D. Merkle, M. Middendorf, H. Schmeck, Ant colony optimization for resource-constrained project scheduling, in: Proceedings of the Genetic and Evolutionary Computation Conference, 2000, pp. 893-900.
-
(2000)
Proceedings of the Genetic and Evolutionary Computation Conference
, pp. 893-900
-
-
Merkle, D.1
Middendorf, M.2
Schmeck, H.3
-
12
-
-
0036581948
-
Variable selection for QSAR by artificial ant colony systems
-
Izrailev S., and Agrafiotis D.K. Variable selection for QSAR by artificial ant colony systems. SAR and QSAR in Environmental Research 13 3-4 (2002) 417-423
-
(2002)
SAR and QSAR in Environmental Research
, vol.13
, Issue.3-4
, pp. 417-423
-
-
Izrailev, S.1
Agrafiotis, D.K.2
-
14
-
-
33845621875
-
A hybrid approach for feature subset selection using neural networks and ant colony optimization
-
Sivagaminathan R.K., and Ramakrishnan S. A hybrid approach for feature subset selection using neural networks and ant colony optimization. Expert Systems with Applications 33 1 (2007) 49-60
-
(2007)
Expert Systems with Applications
, vol.33
, Issue.1
, pp. 49-60
-
-
Sivagaminathan, R.K.1
Ramakrishnan, S.2
-
16
-
-
9644262464
-
Fuzzy-rough data reduction with ant colony optimization
-
Jensen R., and Shen Q. Fuzzy-rough data reduction with ant colony optimization. Fuzzy Sets and Systems 149 1 (2005) 5-20
-
(2005)
Fuzzy Sets and Systems
, vol.149
, Issue.1
, pp. 5-20
-
-
Jensen, R.1
Shen, Q.2
-
17
-
-
33845265316
-
Webpage classification with ACO-enhanced fuzzy-rough feature selection
-
Springer, Berlin
-
Jensen R., and Shen Q. Webpage classification with ACO-enhanced fuzzy-rough feature selection. Lecture Notes in Computer Science vol. 4259 (2006), Springer, Berlin 147-156
-
(2006)
Lecture Notes in Computer Science
, vol.4259
, pp. 147-156
-
-
Jensen, R.1
Shen, Q.2
-
18
-
-
21944436714
-
Using ACO and rough set theory to feature selection
-
Perez R.B., Nowe A., Vrancx P., Gomez Y.D., and Caballero Y. Using ACO and rough set theory to feature selection. WSEAS Transactions on Information Science and Applications 2 5 (2005) 512-517
-
(2005)
WSEAS Transactions on Information Science and Applications
, vol.2
, Issue.5
, pp. 512-517
-
-
Perez, R.B.1
Nowe, A.2
Vrancx, P.3
Gomez, Y.D.4
Caballero, Y.5
-
19
-
-
35048837706
-
Ant colony optimization for feature selection in face recognition
-
Springer, Berlin
-
Yan Z., and Yuan C. Ant colony optimization for feature selection in face recognition. Lecture Notes in Computer Science vol. 3072 (2004), Springer, Berlin 221-226
-
(2004)
Lecture Notes in Computer Science
, vol.3072
, pp. 221-226
-
-
Yan, Z.1
Yuan, C.2
-
20
-
-
28444441282
-
Ant colony optimization based network intrusion feature selection and detection
-
H.-H. Gao, H.-H. Yang, X.-Y. Wang, Ant colony optimization based network intrusion feature selection and detection, in: International Conference on Machine Learning and Cybernetics, 2005, pp. 3871-3875.
-
(2005)
International Conference on Machine Learning and Cybernetics
, pp. 3871-3875
-
-
Gao, H.-H.1
Yang, H.-H.2
Wang, X.-Y.3
-
21
-
-
33745633095
-
Ant colony optimization combining with mutual information for feature selection in support vector machines
-
Springer, Berlin
-
Zhang C., and Hu H. Ant colony optimization combining with mutual information for feature selection in support vector machines. Lecture Notes in Computer Science vol. 3809 (2005), Springer, Berlin 918-921
-
(2005)
Lecture Notes in Computer Science
, vol.3809
, pp. 918-921
-
-
Zhang, C.1
Hu, H.2
-
22
-
-
33645993846
-
Artificial life feature selection techniques for prostrate cancer diagnosis using TRUS images
-
Springer, Berlin
-
Mohamed S.S., Youssef A.M., El-Saadany E.F., and Salama M.M.A. Artificial life feature selection techniques for prostrate cancer diagnosis using TRUS images. Lecture Notes in Computer Science vol. 3656 (2005), Springer, Berlin 903-913
-
(2005)
Lecture Notes in Computer Science
, vol.3656
, pp. 903-913
-
-
Mohamed, S.S.1
Youssef, A.M.2
El-Saadany, E.F.3
Salama, M.M.A.4
-
23
-
-
33748076461
-
A GA-based attribute selection and parameter optimization for support vector machine
-
Huang C.-L., and Wang C.-J. A GA-based attribute selection and parameter optimization for support vector machine. Expert Systems with Applications 31 2 (2006) 231-240
-
(2006)
Expert Systems with Applications
, vol.31
, Issue.2
, pp. 231-240
-
-
Huang, C.-L.1
Wang, C.-J.2
-
25
-
-
0142086622
-
A methodology for feature selection using multi-objective genetic algorithms for handwritten digit string recognition
-
Oliveira L.S., Sabourin R., Bortolozzi F., and Suen C.Y. A methodology for feature selection using multi-objective genetic algorithms for handwritten digit string recognition. International Journal of Pattern Recognition and Artificial Intelligence 17 6 (2003) 903-929
-
(2003)
International Journal of Pattern Recognition and Artificial Intelligence
, vol.17
, Issue.6
, pp. 903-929
-
-
Oliveira, L.S.1
Sabourin, R.2
Bortolozzi, F.3
Suen, C.Y.4
-
27
-
-
1542379687
-
-
MIT Press, Cambridge, Massachusetts, USA
-
Scho{combining double acute accent}lkopf B., and Smola A.J. Statistical Learning and Kernel Methods (2000), MIT Press, Cambridge, Massachusetts, USA
-
(2000)
Statistical Learning and Kernel Methods
-
-
Scholkopf, B.1
Smola, A.J.2
-
29
-
-
85089251671
-
Comparison of classifier methods: A case study in handwriting digit recognition
-
L. Bottou, C. Cortes, J. Denker, H. Drucker, I. Guyon, L. Jackel, Y. LeCun, U. Muller, E. Sackinger, P. Simard, V. Vapnik, Comparison of classifier methods: a case study in handwriting digit recognition, in: International Conference on Pattern Recognition, 1994, pp. 77-87.
-
(1994)
International Conference on Pattern Recognition
, pp. 77-87
-
-
Bottou, L.1
Cortes, C.2
Denker, J.3
Drucker, H.4
Guyon, I.5
Jackel, L.6
LeCun, Y.7
Muller, U.8
Sackinger, E.9
Simard, P.10
Vapnik, V.11
-
30
-
-
0003250435
-
Single-layer learning revisited: a stepwise procedure for building and training a neural network
-
Fogelman-Soulíe F., and Herault J. (Eds), Springer, Berlin
-
Knerr S., Personnaz L., and Dreyfus G. Single-layer learning revisited: a stepwise procedure for building and training a neural network. In: Fogelman-Soulíe F., and Herault J. (Eds). Neurocomputing: Algorithms, Architectures and Application vol. F68 (1990), Springer, Berlin 41-50
-
(1990)
Neurocomputing: Algorithms, Architectures and Application
, vol.F68
, pp. 41-50
-
-
Knerr, S.1
Personnaz, L.2
Dreyfus, G.3
-
31
-
-
0002229304
-
Pairwise classification and support vector machines
-
Schölkopf B., Burges C.J., and Smola A.J. (Eds), MIT Press, Cambridge, Massachusetts, USA
-
KreBel U. Pairwise classification and support vector machines. In: Schölkopf B., Burges C.J., and Smola A.J. (Eds). Advances in Kernel Methods-Support Vector Learning (1999), MIT Press, Cambridge, Massachusetts, USA 254-268
-
(1999)
Advances in Kernel Methods-Support Vector Learning
, pp. 254-268
-
-
KreBel, U.1
-
33
-
-
70350720451
-
-
C.-W. Hsu, C.-C. Chang, C.-J. Lin, A practical guide to support vector classification, Available at: 〈http://www.csie.ntu.edu.tw/∼cjlin/papers/guide/guide.pdf〉, January 2008.
-
C.-W. Hsu, C.-C. Chang, C.-J. Lin, A practical guide to support vector classification, Available at: 〈http://www.csie.ntu.edu.tw/∼cjlin/papers/guide/guide.pdf〉, January 2008.
-
-
-
-
34
-
-
3843050541
-
A study on sigmoid kernels for SVM and the training of non-PSD kernels by SMO-type methods
-
Technical Report, Department of Computer Science and Information Engineering, National Taiwan University, Available at:, January
-
H.-T. Lin, C.-J. Lin, A study on sigmoid kernels for SVM and the training of non-PSD kernels by SMO-type methods, Technical Report, Department of Computer Science and Information Engineering, National Taiwan University, Available at: 〈http://www.csie.ntu.edu.tw/∼cjlin/papers/tanh.pdf〉, January 2008.
-
(2008)
-
-
Lin, H.-T.1
Lin, C.-J.2
-
35
-
-
38149110071
-
Combining SVMs with various feature selection strategies
-
Guyon I., Gunn S., Nikravesh M., and Zadeh L.A. (Eds), Springer, Berlin
-
Chen Y.-W., and Lin C.-J. Combining SVMs with various feature selection strategies. In: Guyon I., Gunn S., Nikravesh M., and Zadeh L.A. (Eds). Feature Extraction, Foundations and Applications, Studies in Fuzziness and Soft Computing (2005), Springer, Berlin 273-282
-
(2005)
Feature Extraction, Foundations and Applications, Studies in Fuzziness and Soft Computing
, pp. 273-282
-
-
Chen, Y.-W.1
Lin, C.-J.2
-
36
-
-
27144463192
-
On comparing classifiers: Pitfalls to avoid and a recommended approach
-
Salzberg S.L. On comparing classifiers: Pitfalls to avoid and a recommended approach. Data Mining and Knowledge Discovery 1 (1997) 317-327
-
(1997)
Data Mining and Knowledge Discovery
, vol.1
, pp. 317-327
-
-
Salzberg, S.L.1
-
38
-
-
0041494125
-
Efficient SVM training using low-rank kernel representations
-
Fine S., and Scheinberg K. Efficient SVM training using low-rank kernel representations. Journal of Machine Learning Research 2 (2001) 243-264
-
(2001)
Journal of Machine Learning Research
, vol.2
, pp. 243-264
-
-
Fine, S.1
Scheinberg, K.2
-
39
-
-
56449110590
-
SVM optimization: inverse dependence on training set size
-
Cohen W.W., McCallum A., and Roweis S.T. (Eds), Berlin, Springer
-
Shalev-Shwartz S., and Srebro N. SVM optimization: inverse dependence on training set size. In: Cohen W.W., McCallum A., and Roweis S.T. (Eds). The 25th International Conference on Machine Learning (2008), Berlin, Springer 928-935
-
(2008)
The 25th International Conference on Machine Learning
, pp. 928-935
-
-
Shalev-Shwartz, S.1
Srebro, N.2
-
40
-
-
0036158552
-
A simple decomposition method for support vector machine
-
Hsu C.W., and Lin C.J. A simple decomposition method for support vector machine. Machine Learning 46 1-3 (2002) 219-314
-
(2002)
Machine Learning
, vol.46
, Issue.1-3
, pp. 219-314
-
-
Hsu, C.W.1
Lin, C.J.2
-
43
-
-
0003065528
-
Further research on feature selection and classification using genetic algorithms
-
Forrest S. (Ed)
-
Punch W.F., Goodman E.D., Pei M., Chia-Shun L., Hovland P., and Enbody R. Further research on feature selection and classification using genetic algorithms. In: Forrest S. (Ed). Fifth International Conference on Genetic Algorithms (1993) 557-564
-
(1993)
Fifth International Conference on Genetic Algorithms
, pp. 557-564
-
-
Punch, W.F.1
Goodman, E.D.2
Pei, M.3
Chia-Shun, L.4
Hovland, P.5
Enbody, R.6
-
45
-
-
0003408496
-
-
Irvine, CA
-
P.M. Murphy, D.W. Aha, UCI Repository of machine learning databases, Department of Information and Computer Science, University of California, Irvine, CA, 〈http://www.ics.uci.edu/∼mlearn/MLRepository.html〉, 2001.
-
(2001)
UCI Repository of machine learning databases, Department of Information and Computer Science
-
-
Murphy, P.M.1
Aha, D.W.2
-
46
-
-
84958981421
-
The ant colony metaphor for searching continuous design space
-
Fogarty T. (Ed), Springer, Berlin
-
Bilchev G., and Parmee I.C. The ant colony metaphor for searching continuous design space. In: Fogarty T. (Ed). Proceeding of the AISB Workshop on Evolutionary Computation, Lecture Notes in Computer Science vol. 993 (1995), Springer, Berlin 25-39
-
(1995)
Proceeding of the AISB Workshop on Evolutionary Computation, Lecture Notes in Computer Science
, vol.993
, pp. 25-39
-
-
Bilchev, G.1
Parmee, I.C.2
-
48
-
-
26444613792
-
A method for solving optimization problem in continuous space using improved ant colony algorithm
-
Shi Y., Xu W., and Chen Z. (Eds), Springer, Berlin
-
Chen L., Shen J., Qin L., and Fan J. A method for solving optimization problem in continuous space using improved ant colony algorithm. In: Shi Y., Xu W., and Chen Z. (Eds). CASDMKM 2004, Lecture Notes in Computer Science vol. 3327 (2004), Springer, Berlin 61-70
-
(2004)
CASDMKM 2004, Lecture Notes in Computer Science
, vol.3327
, pp. 61-70
-
-
Chen, L.1
Shen, J.2
Qin, L.3
Fan, J.4
|