-
1
-
-
34047166860
-
Feature Extraction - Foundations and Applications
-
ser. Physica-Verlag, Springer
-
I. Guyon, S. Gunn, M. Nikravesh, and L. Zadeh, Eds., Feature Extraction - Foundations and Applications, ser. Studies in Fuzziness and Soft Computing. Physica-Verlag, Springer, 2006, vol. 207.
-
(2006)
Studies in Fuzziness and Soft Computing
, vol.207
-
-
Guyon, I.1
Gunn, S.2
Nikravesh, M.3
Zadeh, L.4
-
2
-
-
85013515810
-
Comparative study of techniques for large-scale feature selection
-
F. J. Ferri, P. Pudil, M. Hatef, and J. Kittler, "Comparative study of techniques for large-scale feature selection," Machine Intelligence and Pattern Recognition, vol. 16, 1994.
-
(1994)
Machine Intelligence and Pattern Recognition
, vol.16
-
-
Ferri, F.J.1
Pudil, P.2
Hatef, M.3
Kittler, J.4
-
3
-
-
0031381525
-
Wrappers for feature subset selection
-
R. Kohavi and G. H. John, "Wrappers for feature subset selection," Artif. Intell., vol. 97, no. 1-2, pp. 273-324, 1997.
-
(1997)
Artif. Intell.
, vol.97
, Issue.1-2
, pp. 273-324
-
-
Kohavi, R.1
John, G.H.2
-
5
-
-
0344609892
-
Special issue on variable and feature selection
-
"Special issue on variable and feature selection," J. of Machine Learning Research. http://www. jmlr.org/papers/special/feature.html, 2003.
-
(2003)
J. of Machine Learning Research
-
-
-
6
-
-
17044405923
-
Toward integrating feature selection algorithms for classification and clustering
-
DOI 10.1109/TKDE.2005.66
-
H. Liu and L. Yu, "Toward integrating feature selection algorithms for classification and clustering," IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 4, pp. 491-502, 2005. (Pubitemid 40495592)
-
(2005)
IEEE Transactions on Knowledge and Data Engineering
, vol.17
, Issue.4
, pp. 491-502
-
-
Liu, H.1
Yu, L.2
-
7
-
-
34247622378
-
Iterative RELIEF for feature weighting: Algorithms, theories, and applications
-
DOI 10.1109/TPAMI.2007.1093
-
Y. Sun, "Iterative relief for feature weighting: Algorithms, theories, and applications," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 6, pp. 1035-1051, 2007. (Pubitemid 46667414)
-
(2007)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.29
, Issue.6
, pp. 1035-1051
-
-
Sun, Y.1
-
9
-
-
33845300232
-
Feature selection algorithms in classification problems: An experimental evaluation
-
DOI 10.1080/10556780600881910, PII Q1ML5528268Q830G
-
A. Salappa, M. Doumpos, and C. Zopounidis, "Feature selection algorithms in classification problems: An experimental evaluation," Optimization Methods and Software, vol. 22, no. 1, pp. 199-212, 2007. (Pubitemid 44878967)
-
(2007)
Optimization Methods and Software
, vol.22
, Issue.1
, pp. 199-212
-
-
Salappa, A.1
Doumpos, M.2
Zopounidis, C.3
-
10
-
-
0035391615
-
A new search algorithm for feature selection in hyperspectral remote sensing images
-
DOI 10.1109/36.934069, PII S0196289201054997
-
S. B. Serpico and L. Bruzzone, "A new search algorithm for feature selection in hyper-spectral remote sensing images," IEEE Trans. on Geoscience and Remote Sensing, vol. 39, no. 7, pp. 1360-1367, 2001. (Pubitemid 32732652)
-
(2001)
IEEE Transactions on Geoscience and Remote Sensing
, vol.39
, Issue.7
, pp. 1360-1367
-
-
Serpico, S.B.1
Bruzzone, L.2
-
11
-
-
77954287873
-
-
Ph.D. dissertation, University of Antwerp, Antwerp, Netherlands
-
S. Yu, "Feature selection and classifier ensembles: A study on hyperspectral remote sensing data," Ph.D. dissertation, University of Antwerp, Antwerp, Netherlands, 2003.
-
(2003)
Feature Selection and Classifier Ensembles: A Study on Hyperspectral Remote Sensing Data
-
-
Yu, S.1
-
12
-
-
0002442796
-
Machine learning in automated text categorization
-
March
-
F. Sebastiani, "Machine learning in automated text categorization," ACM Computing Surveys, vol. 34, no. 1, pp. 1-47, March 2002.
-
(2002)
ACM Computing Surveys
, vol.34
, Issue.1
, pp. 1-47
-
-
Sebastiani, F.1
-
13
-
-
26444454606
-
Feature selection for unsupervised learning
-
J. G. Dy and C. E. Brodley, "Feature selection for unsupervised learning,"J. Mach. Learn. Res., vol. 5, pp. 845-889, 2004.
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 845-889
-
-
Dy, J.G.1
Brodley, C.E.2
-
15
-
-
35748932917
-
A review of feature selection techniques in bioinformatics
-
DOI 10.1093/bioinformatics/btm344
-
Y. Saeys, I. Inza, and P. Larrañaga, "A review of feature selection techniques in bioinformatics," Bioinformatics, vol. 23, no. 19, pp. 2507-2517, 2007. (Pubitemid 350048351)
-
(2007)
Bioinformatics
, vol.23
, Issue.19
, pp. 2507-2517
-
-
Saeys, Y.1
Inza, I.2
Larranaga, P.3
-
16
-
-
10044247069
-
Feature selection using tabu search for improving the classification rate of prostate needle biopsies
-
Washington, DC, USA: IEEE Computer Society
-
M. A. Tahir, A. Bouridane, F. Kurugollu, and A. Amira, "Feature selection using tabu search for improving the classification rate of prostate needle biopsies," in Proc. ICPR '04, vol. 2. Washington, DC, USA: IEEE Computer Society, 2004, pp. 335-338.
-
(2004)
Proc. ICPR '04
, vol.2
, pp. 335-338
-
-
Tahir, M.A.1
Bouridane, A.2
Kurugollu, F.3
Amira, A.4
-
17
-
-
83455217064
-
A New Perspective for Information Theoretic Feature Selection
-
of JMLR: W&CP 5
-
G. Brown, "A New Perspective for Information Theoretic Feature Selection," in Proc. AISTATS '09, vol. 5 of JMLR: W&CP 5, 2009, pp. 49-56.
-
(2009)
Proc. AISTATS '09
, vol.5
, pp. 49-56
-
-
Brown, G.1
-
18
-
-
3042527351
-
Fast branch & bound algorithms for optimal feature selection
-
P. Somol, P. Pudil, and J. Kittler, "Fast branch & bound algorithms for optimal feature selection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 7, pp. 900-912, 2004.
-
(2004)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.26
, Issue.7
, pp. 900-912
-
-
Somol, P.1
Pudil, P.2
Kittler, J.3
-
20
-
-
0003141935
-
A comparative study on feature selection in text categorization
-
San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.
-
Y. Yang and J. O. Pedersen, "A comparative study on feature selection in text categorization," in ICML '97: Proc. 14th Int. Conf. on Machine Learning. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 1997, pp. 412-420.
-
(1997)
ICML '97: Proc. 14th Int. Conf. on Machine Learning
, pp. 412-420
-
-
Yang, Y.1
Pedersen, J.O.2
-
21
-
-
0002551285
-
Feature selection for unbalanced class distribution and naive bayes
-
San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.
-
D. Mladenić and M. Grobelnik, "Feature selection for unbalanced class distribution and naive bayes," in ICML '99: Proc. 16th Int. Conf. on Machine Learning. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 1999, pp. 258-267.
-
(1999)
ICML '99: Proc. 16th Int. Conf. on Machine Learning
, pp. 258-267
-
-
Mladenić, D.1
Grobelnik, M.2
-
22
-
-
1942516906
-
An evaluation on feature selection for text clustering
-
T. Liu, S. Liu, Z. Chen, and W.-Y. Ma, "An evaluation on feature selection for text clustering," in Proc. 20th Int. Conf. on Machine Learning (ICML-2003), Washington, DC, USA, 2003, pp. 488-495.
-
Proc. 20th Int. Conf. on Machine Learning (ICML-2003), Washington, DC, USA, 2003
, pp. 488-495
-
-
Liu, T.1
Liu, S.2
Chen, Z.3
Ma, W.-Y.4
-
23
-
-
17644439883
-
Feature selection by maximum marginal diversity: Optimality and implications for visual recognition
-
Washington, DC, USA: IEEE Computer Society, June
-
N. Vasconcelos, "Feature selection by maximum marginal diversity: optimality and implications for visual recognition," in Proc. IEEE Conf. On Computer Vision And Pattern Recognition, vol. 1. Washington, DC, USA: IEEE Computer Society, June 2003, pp. 762-769.
-
(2003)
Proc. IEEE Conf. On Computer Vision and Pattern Recognition
, vol.1
, pp. 762-769
-
-
Vasconcelos, N.1
-
24
-
-
10044224476
-
Large scale feature selection using modified random mutation hill climbing
-
Washington, DC, USA: IEEE Computer Society
-
M. E. Farmer, S. Bapna, and A. K. Jain, "Large scale feature selection using modified random mutation hill climbing," in ICPR '04: Proc. 17th Int. Conf. on Pattern Recognition, vol. 2. Washington, DC, USA: IEEE Computer Society, 2004, pp. 287-290.
-
(2004)
ICPR '04: Proc. 17th Int. Conf. on Pattern Recognition
, vol.2
, pp. 287-290
-
-
Farmer, M.E.1
Bapna, S.2
Jain, A.K.3
-
25
-
-
84890445089
-
Overfitting in making comparisons between variable selection methods
-
J. Reunanen, "Overfitting in making comparisons between variable selection methods," J. Mach. Learn. Res., vol. 3, pp. 1371-1382, 2003.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1371-1382
-
-
Reunanen, J.1
-
26
-
-
33745808338
-
A pitfall in determining the optimal feature subset size
-
-, "A pitfall in determining the optimal feature subset size," in Proc. 4th Int. Workshop on Pattern Recognition in Information Systems (PRIS 2004), Porto, Portugal, 2004, pp. 176-185.
-
Proc. 4th Int. Workshop on Pattern Recognition in Information Systems (PRIS 2004), Porto, Portugal, 2004
, pp. 176-185
-
-
Reunanen, J.1
-
27
-
-
33745816725
-
Less biased measurement of feature selection benefits
-
Statistical and Optimization Perspectives Workshop, SLSFS 2005, Bohinj, Slovenia, February 23-25, 2005 Revised Selected Papers, C. Saunders, M. Grobelnik, S. Gunn, and J. Shawe-Taylor, Eds., vol. Springer Berlin / Heidelberg
-
-, "Less biased measurement of feature selection benefits," in Statistical and Optimization Perspectives Workshop, SLSFS 2005, Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers, C. Saunders, M. Grobelnik, S. Gunn, and J. Shawe-Taylor, Eds., vol. LNCS 3940. Springer Berlin / Heidelberg, 2006, pp. 198-208.
-
(2006)
LNCS
, vol.3940
, pp. 198-208
-
-
Reunanen, J.1
-
28
-
-
26944463426
-
On understanding and assessing feature selection bias
-
Artificial Intelligence in Medicine, vol. Springer-Verlag
-
Š. J. Raudys, R. Baumgartner, and R. Somorjai, "On understanding and assessing feature selection bias," in Artificial Intelligence in Medicine, vol. LNAI 3581. Springer-Verlag, 2005, pp. 468-472.
-
(2005)
LNAI
, vol.3581
, pp. 468-472
-
-
Raudys, Š.J.1
Baumgartner, R.2
Somorjai, R.3
-
29
-
-
33749612557
-
Feature over-selection
-
Structural, Syntactic, and Statistical Pattern Recognition, vol. Berlin / Heidelberg, Germany: Springer-Verlag
-
Š. J. Raudys, "Feature over-selection," in Structural, Syntactic, and Statistical Pattern Recognition, vol. LNCS 4109. Berlin / Heidelberg, Germany: Springer-Verlag, 2006, pp. 622-631.
-
(2006)
LNCS
, vol.4109
, pp. 622-631
-
-
Raudys, Š.J.1
-
30
-
-
38149090506
-
A stability index for feature selection
-
Anaheim, CA, USA: ACTA Press
-
L. I. Kuncheva, "A stability index for feature selection," in Proc. 25th IASTED International Multi-Conference AIAP'07. Anaheim, CA, USA: ACTA Press, 2007, pp. 390-395.
-
(2007)
Proc. 25th IASTED International Multi-Conference AIAP'07
, pp. 390-395
-
-
Kuncheva, L.I.1
-
31
-
-
33745039800
-
Parallelizing feature selection
-
J. T. Souza, S. Matwin, and N. Japkowicz, "Parallelizing feature selection,"Algorithmica, vol. 45, no. 3, pp. 433-456, 2006.
-
(2006)
Algorithmica
, vol.45
, Issue.3
, pp. 433-456
-
-
Souza, J.T.1
Matwin, S.2
Japkowicz, N.3
-
32
-
-
1942451938
-
Feature selection for high-dimensional data: A fast correlation-based filter solution
-
Washington DC, USA: Morgan Kaufmann Publishers Inc.
-
L. Yu and H. Liu, "Feature selection for high-dimensional data: A fast correlation-based filter solution," in ICML-03: Proc. 20th Int. Conf. on Machine Learning, vol. 20. Washington DC, USA: Morgan Kaufmann Publishers Inc., 2003, pp. 856-863.
-
(2003)
ICML-03: Proc. 20th Int. Conf. on Machine Learning
, vol.20
, pp. 856-863
-
-
Yu, L.1
Liu, H.2
-
33
-
-
33645690579
-
Fast binary feature selection with conditional mutual information
-
F. Fleuret, "Fast binary feature selection with conditional mutual information,"J. Mach. Learn. Res., vol. 5, pp. 1531-1555, 2004.
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 1531-1555
-
-
Fleuret, F.1
-
34
-
-
24344458137
-
Feature selection based on mutual information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy
-
DOI 10.1109/TPAMI.2005.159
-
H. Peng, F. Long, and C. Ding, "Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy, "IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 8, pp. 1226-1238, 2005. (Pubitemid 41245053)
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.8
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
35
-
-
0027002164
-
The feature selection problem: Traditional methods and a new algoirthm
-
W. Swartout, Ed. AAAI Press/The MIT Press, August
-
K. Kira and L. A. Rendell, "The feature selection problem: Traditional methods and a new algoirthm," in AAAI-92: Proc. 10th Nat. Conf. on Artifical Intelligence, W. Swartout, Ed. AAAI Press/The MIT Press, August 1992, pp. 129-134.
-
(1992)
AAAI-92: Proc. 10th Nat. Conf. on Artifical Intelligence
, pp. 129-134
-
-
Kira, K.1
Rendell, L.A.2
-
36
-
-
84992726552
-
Estimating attributes: Analysis and extensions of relief
-
Secaucus, NJ, USA: Springer-Verlag New York, Inc.
-
I. Kononenko, "Estimating attributes: Analysis and extensions of relief,"in ECML-94: Proc. European Conf. on Machine Learning. Secaucus, NJ, USA: Springer-Verlag New York, Inc., 1994, pp. 171-182.
-
(1994)
ECML-94: Proc. European Conf. on Machine Learning
, pp. 171-182
-
-
Kononenko, I.1
-
37
-
-
33749562363
-
Orthogonal relief algorithm for feature selection
-
Intelligent Computing, vol. Berlin / Heidelberg, Germany: Springer-Verlag
-
J. Yang and Y.-P. Li, "Orthogonal relief algorithm for feature selection,"in Intelligent Computing, vol. LNCS 4113. Berlin / Heidelberg, Germany: Springer-Verlag, 2006, pp. 227-234.
-
(2006)
LNCS
, vol.4113
, pp. 227-234
-
-
Yang, J.1
Li, Y.-P.2
-
38
-
-
84951828553
-
Genetic algorithms for feat. select. and weighting, a review and study
-
vol. 00
-
F. Hussein, R. Ward, and N. Kharma, "Genetic algorithms for feat. select. and weighting, a review and study," icdar, vol. 00, p. 1240, 2001.
-
(2001)
Icdar
, pp. 1240
-
-
Hussein, F.1
Ward, R.2
Kharma, N.3
-
39
-
-
14844342529
-
Int. Series in Operations Research & Management Science
-
ser. Springer
-
F. W. Glover and G. A. Kochenberger, Eds., Handbook of Metaheuristics, ser. Int. Series in Operations Research & Management Science. Springer, 2003, vol. 57.
-
(2003)
Handbook of Metaheuristics
, vol.57
-
-
Glover, F.W.1
Kochenberger, G.A.2
-
40
-
-
33845497491
-
Simultaneous feature selection and feature weighting using Hybrid Tabu Search/K-nearest neighbor classifier
-
DOI 10.1016/j.patrec.2006.08.016, PII S0167865506002303
-
M. A. Tahir, A. Bouridane, and F. Kurugollu, "Simultaneous feature selection and feature weighting using hybrid tabu search/k-nearest neighbor classifier," Pattern Recogn. Lett., vol. 28, no. 4, pp. 438-446, 2007. (Pubitemid 44918133)
-
(2007)
Pattern Recognition Letters
, vol.28
, Issue.4
, pp. 438-446
-
-
Tahir, M.A.1
Bouridane, A.2
Kurugollu, F.3
-
41
-
-
0031191557
-
Feature subset selection within a simulated annealing data mining algorithm
-
J. C. W. Debuse and V. J. Rayward-Smith, "Feature subset selection within a simulated annealing data mining algorithm," J. Intell. Inf. Syst., vol. 9, no. 1, pp. 57-81, 1997.
-
(1997)
J. Intell. Inf. Syst.
, vol.9
, Issue.1
, pp. 57-81
-
-
Debuse, J.C.W.1
Rayward-Smith, V.J.2
-
42
-
-
33845224680
-
Oscillating feature subset search algorithm for text categorization
-
Structural, Syntactic, and Statistical Pattern Recognition, vol. Berlin / Heidelberg, Germany: Springer-Verlag
-
J. Novovičová, P. Somol, and P. Pudil, "Oscillating feature subset search algorithm for text categorization," in Structural, Syntactic, and Statistical Pattern Recognition, vol. LNCS 4109. Berlin / Heidelberg, Germany: Springer-Verlag, 2006, pp. 578-587.
-
(2006)
LNCS
, vol.4109
, pp. 578-587
-
-
Novovičová, J.1
Somol, P.2
Pudil, P.3
-
43
-
-
68949155378
-
Feature subset selection in large dimensionality domains
-
I. A. Gheyas and L. S. Smith, "Feature subset selection in large dimensionality domains," Pattern Recognition, vol. 43, no. 1, pp. 5-13, 2010.
-
(2010)
Pattern Recognition
, vol.43
, Issue.1
, pp. 5-13
-
-
Gheyas, I.A.1
Smith, L.S.2
-
44
-
-
33646258047
-
Random subspace method for multivariate feature selection
-
C. Lai, M. J. T. Reinders, and L. Wessels, "Random subspace method for multivariate feature selection," Pattern Recogn. Lett., vol. 27, no. 10, pp. 1067-1076, 2006.
-
(2006)
Pattern Recogn. Lett.
, vol.27
, Issue.10
, pp. 1067-1076
-
-
Lai, C.1
Reinders, M.J.T.2
Wessels, L.3
-
46
-
-
36948999941
-
-
Online. Available: http://www.ics.uci.edu/~mlearn/MLRepository.html
-
A. Asuncion and D. Newman, "UCI machine learning repository, http://www.ics.uci.edu/~mlearn/ mlrepository.html," 2007. [Online]. Available: http://www.ics.uci.edu/~mlearn/MLRepository.html
-
(2007)
UCI Machine Learning Repository
-
-
Asuncion, A.1
Newman, D.2
-
47
-
-
0028547556
-
Floating search methods in feature selection
-
P. Pudil, J. Novovičová, and J. Kittler, "Floating search methods in feature selection," Pattern Rec. Lett., vol. 15, no. 11, pp. 1119-1125, 1994.
-
(1994)
Pattern Rec. Lett.
, vol.15
, Issue.11
, pp. 1119-1125
-
-
Pudil, P.1
Novovičová, J.2
Kittler, J.3
-
48
-
-
78149286082
-
Evaluating stability and comparing output of feature selectors that optimize feature subset cardinality
-
P. Somol and J. Novovičová, "Evaluating stability and comparing output of feature selectors that optimize feature subset cardinality," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 11, pp. 1921-1939, 2010.
-
(2010)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.32
, Issue.11
, pp. 1921-1939
-
-
Somol, P.1
Novovičová, J.2
|