-
1
-
-
79957638704
-
Recognition of handwritten Arabic literal amounts using a hybrid approach
-
Boukharouba A, Bennia A. Recognition of handwritten Arabic literal amounts using a hybrid approach. Cogn Comput. 2011; 3(2): 382-393.
-
(2011)
Cogn Comput
, vol.3
, Issue.2
, pp. 382-393
-
-
Boukharouba, A.1
Bennia, A.2
-
2
-
-
78649913777
-
Face recognition with quantum associative networks using overcomplete Gabor wavelet
-
Tay NW, Loo CK, Perus M. Face recognition with quantum associative networks using overcomplete Gabor wavelet. Cogn Comput. 2010; 2(4): 297-302.
-
(2010)
Cogn Comput
, vol.2
, Issue.4
, pp. 297-302
-
-
Tay, N.W.1
Loo, C.K.2
Perus, M.3
-
3
-
-
78650911205
-
Land cover classification of cloud-contaminated multitemporal high-resolution images
-
Salberg AB. Land cover classification of cloud-contaminated multitemporal high-resolution images. IEEE Trans Geosci Remote Sens. 2011; 49(1): 377-387.
-
(2011)
IEEE Trans Geosci Remote Sens
, vol.49
, Issue.1
, pp. 377-387
-
-
Salberg, A.B.1
-
4
-
-
80052268389
-
Developing prognosis tools to identify learning difficulties in children using machine learning technologies
-
Loizou A and Laouris Y. Developing prognosis tools to identify learning difficulties in children using machine learning technologies. Cogn Comput. 2011; 3(3): 50-490.
-
(2011)
Cogn Comput
, vol.3
, Issue.3
, pp. 50-490
-
-
Loizou, A.1
Laouris, Y.2
-
5
-
-
59549087165
-
On discriminative vs. generative classifiers: a comparison of logistic regression and naive Bayes
-
Cambridge: MIT Press
-
Ng AY, Jordan MI. On discriminative vs. generative classifiers: a comparison of logistic regression and naive Bayes. In: Advances in neural information processing systems. Cambridge: MIT Press; 2002. p. 841-848.
-
(2002)
In: Advances in neural information processing systems
, pp. 841-848
-
-
Ng, A.Y.1
Jordan, M.I.2
-
6
-
-
79955532338
-
Classification of mental task from EEG signals using immune feature weighted support vector machines
-
Guo L, Wu YX, Zhao L, et al. Classification of mental task from EEG signals using immune feature weighted support vector machines. IEEE Trans Magn. 2011; 47(5): 866-869.
-
(2011)
IEEE Trans Magn
, vol.47
, Issue.5
, pp. 866-869
-
-
Guo, L.1
Wu, Y.X.2
Zhao, L.3
-
7
-
-
83655192093
-
Data-core-based fuzzy min-max neural network for pattern classification
-
Zhang HG, Liu JH, Ma DZ, et al. Data-core-based fuzzy min-max neural network for pattern classification. IEEE Trans Neural Netw. 2011; 22(12): 2339-2352.
-
(2011)
IEEE Trans Neural Netw.
, vol.22
, Issue.12
, pp. 2339-2352
-
-
Zhang, H.G.1
Liu, J.H.2
Ma, D.Z.3
-
9
-
-
84859974404
-
Exact sample conditioned MSE performance of the Bayesian MMSE estimator for classification error-part I: representation
-
Dalton LA, Dougherty ER. Exact sample conditioned MSE performance of the Bayesian MMSE estimator for classification error-part I: representation. IEEE Trans Signal Process. 2012; 60(5): 2575-2587.
-
(2012)
IEEE Trans Signal Process
, vol.60
, Issue.5
, pp. 2575-2587
-
-
Dalton, L.A.1
Dougherty, E.R.2
-
10
-
-
0032905966
-
Bayesian classification by iterated weighting
-
Baram Y. Bayesian classification by iterated weighting. Neurocomputing 1999; 25(1-3): 73-79.
-
(1999)
Neurocomputing
, vol.25
, Issue.1-3
, pp. 73-79
-
-
Baram, Y.1
-
11
-
-
37649020425
-
Landscapes of naive Bayes classifiers
-
Hoare Z. Landscapes of naive Bayes classifiers. Pattern Anal Appl. 2008; 11(1): 59-72.
-
(2008)
Pattern Anal Appl
, vol.11
, Issue.1
, pp. 59-72
-
-
Hoare, Z.1
-
13
-
-
85047673373
-
Missing data: our view of the state of the art
-
Schafer JL, Graham JW. Missing data: Our view of the state of the art. Psychol Methods. 2002; 7(2): 147-177.
-
(2002)
Psychol Methods
, vol.7
, Issue.2
, pp. 147-177
-
-
Schafer, J.L.1
Graham, J.W.2
-
16
-
-
77957130052
-
Missing data imputation using statistical and machine learning methods in a real breast cancer problem
-
Jerez JM, Molina I, Garcia-Laencina PJ, et al. Missing data imputation using statistical and machine learning methods in a real breast cancer problem. Artif Intell Med. 2010; 50(2): 105-115.
-
(2010)
Artif Intell Med
, vol.50
, Issue.2
, pp. 105-115
-
-
Jerez, J.M.1
Molina, I.2
Garcia-Laencina, P.J.3
-
17
-
-
78650175506
-
A neural network-based framework for the reconstruction of incomplete data sets
-
Gheyas IA, Smith LS. A neural network-based framework for the reconstruction of incomplete data sets. Neurocomputing 2010; 73(16-18): 3039-3065.
-
(2010)
Neurocomputing
, vol.73
, Issue.16-18
, pp. 3039-3065
-
-
Gheyas, I.A.1
Smith, L.S.2
-
18
-
-
78649645941
-
Missing value imputation on missing completely at random data using multilayer perceptrons
-
Silva-Ramirez EL, Pino-Mejias R, Lopez-Coello M, et al. Missing value imputation on missing completely at random data using multilayer perceptrons. Neural Netw. 2011; 24(1): 121-129.
-
(2011)
Neural Netw
, vol.24
, Issue.1
, pp. 121-129
-
-
Silva-Ramirez, E.L.1
Pino-Mejias, R.2
Lopez-Coello, M.3
-
19
-
-
76749163647
-
Selection-fusion approach for classification of datasets with missing values
-
Ghannad-Rezaie M, Soltanian-Zadeh H, Ying H, et al. Selection-fusion approach for classification of datasets with missing values. Pattern Recognit. 2010; 43(6): 2340-2350.
-
(2010)
Pattern Recognit
, vol.43
, Issue.6
, pp. 2340-2350
-
-
Ghannad-Rezaie, M.1
Soltanian-Zadeh, H.2
Ying, H.3
-
20
-
-
0242493761
-
On the use of conceptual reconstruction for mining massively incomplete data sets
-
Parthasarathy S, Aggarwal CC. On the use of conceptual reconstruction for mining massively incomplete data sets. IEEE Trans Knowl Data Eng. 2003; 15(6): 1512-1521.
-
(2003)
IEEE Trans Knowl Data Eng
, vol.15
, Issue.6
, pp. 1512-1521
-
-
Parthasarathy, S.1
Aggarwal, C.C.2
-
24
-
-
77958000637
-
A kernel-based parametric method for conditional density estimation
-
Gang F, Shih FY, Haimin W. A kernel-based parametric method for conditional density estimation. Pattern Recognit. 2011; 44(2): 284-294.
-
(2011)
Pattern Recognit
, vol.44
, Issue.2
, pp. 284-294
-
-
Gang, F.1
Shih, F.Y.2
Haimin, W.3
-
26
-
-
78751701647
-
Estimation of the MISE and the optimal bandwidth vector of a product kernel density estimate
-
Dutta S. Estimation of the MISE and the optimal bandwidth vector of a product kernel density estimate. J Stat Plan Inference. 2011; 141(5): 1817-1831.
-
(2011)
J Stat Plan Inference
, vol.141
, Issue.5
, pp. 1817-1831
-
-
Dutta, S.1
-
27
-
-
33750512342
-
Kernel-based classification using quantum mechanics
-
Nasios N, Bors AG. Kernel-based classification using quantum mechanics. Pattern Recognit. 2007; 40(3): 875-889.
-
(2007)
Pattern Recognit
, vol.40
, Issue.3
, pp. 875-889
-
-
Nasios, N.1
Bors, A.G.2
-
28
-
-
82755160600
-
Kernel smoothing density estimation when group membership is subject to missing
-
Tang W, He H, Gunzler D. Kernel smoothing density estimation when group membership is subject to missing. J Stat Plan Inference. 2012; 142(3): 685-694.
-
(2012)
J Stat Plan Inference
, vol.142
, Issue.3
, pp. 685-694
-
-
Tang, W.1
He, H.2
Gunzler, D.3
-
29
-
-
0001050272
-
A brief survey of bandwidth selection for density estimation
-
Jones MC, Marron JS, Sheather SJ. A brief survey of bandwidth selection for density estimation. J Am Stat Assoc. 1996; 91(433): 401-407.
-
(1996)
J Am Stat Assoc
, vol.91
, Issue.433
, pp. 401-407
-
-
Jones, M.C.1
Marron, J.S.2
Sheather, S.J.3
-
30
-
-
79958782071
-
Multivariate online kernel density estimation with Gaussian kernels
-
Kristan M, Leonardis A, Skocaj D. Multivariate online kernel density estimation with Gaussian kernels. Pattern Recognit. 2011; 44(10-11): 2630-2642.
-
(2011)
Pattern Recognit
, vol.44
, Issue.10-11
, pp. 2630-2642
-
-
Kristan, M.1
Leonardis, A.2
Skocaj, D.3
-
31
-
-
33644976711
-
On fast supervised learning for normal mixture models with missing information
-
Lin TI, Lee JC, Ho HJ. On fast supervised learning for normal mixture models with missing information. Pattern Recognit. 2006; 39(6): 1177-1187.
-
(2006)
Pattern Recognit
, vol.39
, Issue.6
, pp. 1177-1187
-
-
Lin, T.I.1
Lee, J.C.2
Ho, H.J.3
-
33
-
-
36049006516
-
Probability density estimation with data missing at random when covariables are present
-
Wang QH. Probability density estimation with data missing at random when covariables are present. J Stat Plan Inference. 2008; 138(3): 568-587.
-
(2008)
J Stat Plan Inference
, vol.138
, Issue.3
, pp. 568-587
-
-
Wang, Q.H.1
-
34
-
-
69949107089
-
Kernel density estimation with missing data and auxiliary variables
-
Dubnicka SR. Kernel density estimation with missing data and auxiliary variables. Aust. N Z J Stat. 2009; 51(3): 247-270.
-
(2009)
Aust. N Z J Stat
, vol.51
, Issue.3
, pp. 247-270
-
-
Dubnicka, S.R.1
-
35
-
-
84877042496
-
-
UCI machine learning repository, [Online]. Available
-
UCI machine learning repository, 2012. [Online]. Available: http://archive. ics. uci. edu/ml/datasets. html.
-
(2012)
-
-
-
36
-
-
82055194240
-
LS-SVR method of ore grade estimation in Solwara 1 region with missing data
-
Zhang XN, Song SJ, Li JB, et al. LS-SVR method of ore grade estimation in Solwara 1 region with missing data. J Central S Univ. 2011; 42(suppl. 2): 147-155.
-
(2011)
J Central S Univ
, vol.42
, Issue.SUPPL. 2
, pp. 147-155
-
-
Zhang, X.N.1
Song, S.J.2
Li, J.B.3
-
38
-
-
67349117085
-
An edge-based color-aided method for license plate detection
-
Abolghasemi V and Ahmadyfard A. An edge-based color-aided method for license plate detection. Image Vis Comput. 2009; 27(8): 1134-1142.
-
(2009)
Image Vis Comput
, vol.27
, Issue.8
, pp. 1134-1142
-
-
Abolghasemi, V.1
Ahmadyfard, A.2
-
39
-
-
33745800909
-
Second order cone programming approaches for handling missing and uncertain data
-
Shivaswamy PK, Bhattacharyya C, Smola AJ. Second order cone programming approaches for handling missing and uncertain data. J Mach Learn Res. 2006; 7: 1283-1314.
-
(2006)
J Mach Learn Res
, vol.7
, pp. 1283-1314
-
-
Shivaswamy, P.K.1
Bhattacharyya, C.2
Smola, A.J.3
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