-
1
-
-
85162551376
-
Hashing algorithms for large-scale learning
-
P. Li, A. Shrivastava, J. Moore, and A. C. Konig, "Hashing algorithms for large-scale learning," in Proc. NIPS, 2011, pp. 2672-2680.
-
(2011)
Proc. NIPS
, pp. 2672-2680
-
-
Li, P.1
Shrivastava, A.2
Moore, J.3
Konig, A.C.4
-
2
-
-
0037278069
-
A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance
-
Feb.
-
C. Ye, N. H. C. Yung, and D. W. Wang, "A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance," IEEE Trans. Syst. Man Cybern. B-Cybern., vol. 33, no. 11, pp. 17-27, Feb. 2003.
-
(2003)
IEEE Trans. Syst. Man Cybern. B-Cybern.
, vol.33
, Issue.11
, pp. 17-27
-
-
Ye, C.1
Yung, N.H.C.2
Wang, D.W.3
-
3
-
-
0003922190
-
-
2nd ed. Hoboken, NJ, USA: Wiley-Interscience
-
R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. Hoboken, NJ, USA: Wiley-Interscience, 2000.
-
(2000)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
4
-
-
78449299753
-
Recursive Mahalanobis separability measure for gene subset selection
-
Jan.
-
K. Z. Mao and W. Tang, "Recursive Mahalanobis separability measure for gene subset selection," IEEE/ACM Trans. Comput. Biol. Bioinf., vol. 8, no. 1, pp. 266-272, Jan. 2011.
-
(2011)
IEEE/ACM Trans. Comput. Biol. Bioinf.
, vol.8
, Issue.1
, pp. 266-272
-
-
Mao, K.Z.1
Tang, W.2
-
5
-
-
77951969231
-
Training and testing low-degree polynomial data mappings via linear SVM
-
Apr.
-
Y. W. Chang, C. J. Hsieh, K. W. Chang, M. Ringgaard, and C. J. Lin, "Training and testing low-degree polynomial data mappings via linear SVM." J. Mach. Learn. Res., vol. 11, pp. 1471-2175, Apr. 2010.
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 1471-2175
-
-
Chang, Y.W.1
Hsieh, C.J.2
Chang, K.W.3
Ringgaard, M.4
Lin, C.J.5
-
6
-
-
77953184603
-
Max-margin additive classifiers for detection
-
S. Maji and A. C. Berg, "Max-margin additive classifiers for detection," in Proc. Int. Conf. Comput. Vision, 2009, pp. 40-47.
-
(2009)
Proc. Int. Conf. Comput. Vision
, pp. 40-47
-
-
Maji, S.1
Berg, A.C.2
-
7
-
-
57349179680
-
-
Stanford Univ., Tech. Rep
-
P. Li, K. W. Church, and T. J. Hastie, "A sketch-based sampling algorithm on sparse data," Stanford Univ., Tech. Rep., 2006.
-
(2006)
A Sketch-based Sampling Algorithm on Sparse Data
-
-
Li, P.1
Church, K.W.2
Hastie, T.J.3
-
8
-
-
84864064770
-
Conditional random sampling: A sketch-based sampling technique for sparse data
-
P. Li, K. W. Church, and T. J. Hastie, "Conditional random sampling: A sketch-based sampling technique for sparse data," in Proc. NIPS, 2006, pp. 873-880.
-
(2006)
Proc. NIPS
, pp. 873-880
-
-
Li, P.1
Church, K.W.2
Hastie, T.J.3
-
9
-
-
84873278481
-
On similarity preserving feature selection
-
Mar.
-
Z. Zhao, L. Wang, H. Liu, and J. Ye., "On similarity preserving feature selection," IEEE Trans. Knowl. Data Eng., vol. 25, no. 3, pp. 619-632, Mar. 2013.
-
(2013)
IEEE Trans. Knowl. Data Eng.
, vol.25
, Issue.3
, pp. 619-632
-
-
Zhao, Z.1
Wang, L.2
Liu, H.3
Ye, J.4
-
10
-
-
77955397866
-
Local learning based feature selection for high dimensional data analysis
-
Sep.
-
Y. Sun, S. Todorovic, and S. Goodison, "Local learning based feature selection for high dimensional data analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 9, pp. 1610-1626, Sep. 2010.
-
(2010)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.32
, Issue.9
, pp. 1610-1626
-
-
Sun, Y.1
Todorovic, S.2
Goodison, S.3
-
11
-
-
79551500651
-
A comparison of optimization methods and software for large-scale l1-regularized linear classification
-
G.-X. Yuan, K.-W. Chang, C.-J. Hsieh, and C.-J. Lin, "A comparison of optimization methods and software for large-scale l1-regularized linear classification," J. Mach. Learning Res., vol. 11, no. 3, pp. 3183-3234, 2010.
-
(2010)
J. Mach. Learning Res.
, vol.11
, Issue.3
, pp. 3183-3234
-
-
Yuan, G.-X.1
Chang, K.-W.2
Hsieh, C.-J.3
Lin, C.-J.4
-
12
-
-
34250896121
-
Markov blanket-embedded genetic algorithm for gene selection
-
DOI 10.1016/j.patcog.2007.02.007, PII S0031320307000945
-
Z. Zhu, Y. S. Ong, and M. Dash, "Markov blanket-embedded genetic algorithm for gene selection," Pattern Recogn., vol. 49, no. 11, pp. 3236-3248, Nov. 2007. (Pubitemid 46990428)
-
(2007)
Pattern Recognition
, vol.40
, Issue.11
, pp. 3236-3248
-
-
Zhu, Z.1
Ong, Y.-S.2
Dash, M.3
-
13
-
-
33847646332
-
Wrapper-filter feature selection algorithm using a memetic framework
-
DOI 10.1109/TSMCB.2006.883267, Special Issue on Memetic Algorithms
-
Z. Zhu, Y. S. Ong, and M. Dash, "Wrapper-filter feature selection algorithm using a memetic framework," IEEE Trans. Syst. Man Cybern. B-Cybern., vol. 37, no. 1, pp. 70-76, Feb. 2007. (Pubitemid 46358481)
-
(2007)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
, vol.37
, Issue.1
, pp. 70-76
-
-
Zhu, Z.1
Ong, Y.-S.2
Dash, M.3
-
14
-
-
79957606714
-
Robust feature selection for microarray data based on multicriterion fusion
-
Aug.
-
F. Yang and K. Mao, "Robust feature selection for microarray data based on multicriterion fusion," IEEE/ACM Trans. Comput. Biol. Bioinf., vol. 8, no. 4, pp. 1080-1092, Aug. 2011.
-
(2011)
IEEE/ACM Trans. Comput. Biol. Bioinf.
, vol.8
, Issue.4
, pp. 1080-1092
-
-
Yang, F.1
Mao, K.2
-
15
-
-
0742307309
-
Feature subset selection for support vector machines through discriminative function pruning analysis
-
Feb.
-
K. Z. Mao, "Feature subset selection for support vector machines through discriminative function pruning analysis," IEEE Trans. Syst. Man Cybern. B-Cybern., vol. 34, no. 1, pp. 60-67, Feb. 2004.
-
(2004)
IEEE Trans. Syst. Man Cybern. B-Cybern.
, vol.34
, Issue.1
, pp. 60-67
-
-
Mao, K.Z.1
-
16
-
-
1842587887
-
Relevant, irredundant feature selection and noisy example elimination
-
Apr.
-
G. V. Lashkia and L. Anthony, "Relevant, irredundant feature selection and noisy example elimination," IEEE Trans. Syst. Man Cybern. B-Cybern., vol. 34, no. 2, pp. 888-897, Apr. 2004.
-
(2004)
IEEE Trans. Syst. Man Cybern. B-Cybern.
, vol.34
, Issue.2
, pp. 888-897
-
-
Lashkia, G.V.1
Anthony, L.2
-
17
-
-
77956551904
-
Learning sparse SVM for feature selection on very high dimensional datasets
-
M. Tan, I. W. Tsang, and L. Wang, "Learning sparse SVM for feature selection on very high dimensional datasets," in Proc. ICML, 2010, pp. 1047-1054.
-
(2010)
Proc. ICML
, pp. 1047-1054
-
-
Tan, M.1
Tsang, I.W.2
Wang, L.3
-
18
-
-
70349492899
-
Cutting-set methods for robust convex optimization with pessimizing oracles
-
Jun.
-
A. Mutapcic and S. Boyd, "Cutting-set methods for robust convex optimization with pessimizing oracles," Optim. Methods Softw., vol. 24, pp. 381-406, Jun. 2009.
-
(2009)
Optim. Methods Softw.
, vol.24
, pp. 381-406
-
-
Mutapcic, A.1
Boyd, S.2
-
19
-
-
50249142450
-
Robust de-anonymization of large sparse datasets
-
May
-
A. Narayanan and V. Shmatikov, "Robust de-anonymization of large sparse datasets," in Proc. IEEE Symp. Secur. Priv., May 2008, pp. 111-125.
-
(2008)
Proc. IEEE Symp. Secur. Priv.
, pp. 111-125
-
-
Narayanan, A.1
Shmatikov, V.2
-
22
-
-
71149108237
-
Identifying suspicious URLs: An application of large-scale online learning
-
J. Ma, L. K. Saul, S. Savage, and G. M. Voelker, "Identifying suspicious URLs: An application of large-scale online learning." in Proc. ICML, 2009, pp. 681-688.
-
(2009)
Proc. ICML
, pp. 681-688
-
-
Ma, J.1
Saul, L.K.2
Savage, S.3
Voelker, G.M.4
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