-
1
-
-
0001028358
-
An inverse matric adjustment arising in discriminant analysis
-
M.S. Bartlett An inverse matric adjustment arising in discriminant analysis Annals of Mathematical Statistics 22 1 1951 107 111
-
(1951)
Annals of Mathematical Statistics
, vol.22
, Issue.1
, pp. 107-111
-
-
Bartlett, M.S.1
-
5
-
-
33750506073
-
An improved incremental training algorithm for support vector machines using active query
-
DOI 10.1016/j.patcog.2006.06.016, PII S0031320306002962
-
S. Cheng, and F.Y. Shih An improved incremental training algorithm for support vector machines using active query Pattern Recognition 40 2007 964 971 (Pubitemid 44667752)
-
(2007)
Pattern Recognition
, vol.40
, Issue.3
, pp. 964-971
-
-
Cheng, S.1
Shih, F.Y.2
-
10
-
-
21244486307
-
Multicategory proximal support vector machine classifiers
-
DOI 10.1007/s10994-005-0463-6
-
G. Fung, and O.L. Mangasarian Multicategory proximal support vector machine classifiers Machine Learning 59 1-2 2005 77 97 (Pubitemid 40890413)
-
(2005)
Machine Learning
, vol.59
, Issue.1-2
, pp. 77-97
-
-
Fung, G.M.1
Mangasarian, O.L.2
-
11
-
-
0024682770
-
Updating the inverse of a matrix
-
W.W. Hager Updating the inverse of a matrix SIAM Review Archive 31 2 1989 221 239
-
(1989)
SIAM Review Archive
, vol.31
, Issue.2
, pp. 221-239
-
-
Hager, W.W.1
-
15
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Available online
-
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner Gradient-based learning applied to document recognition Proceedings of the IEEE 86 11 1998 2278 2324 Available online: http://yann.lecun.com/exdb/mnist/
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
Lecun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
17
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
D.D. Lee, and H.S. Seung Learning the parts of objects by non-negative matrix factorization Nature 401 6755 1999 788 791
-
(1999)
Nature
, vol.401
, Issue.6755
, pp. 788-791
-
-
Lee, D.D.1
Seung, H.S.2
-
18
-
-
33750523404
-
Adaptive simplification of solution for support vector machine
-
DOI 10.1016/j.patcog.2006.07.005, PII S0031320306003153
-
Q. Li, L. Jiao, and Y. Hao Adaptive simplification of solution for support vector machine Pattern Recognition 40 2007 972 980 (Pubitemid 44667758)
-
(2007)
Pattern Recognition
, vol.40
, Issue.3
, pp. 972-980
-
-
Li, Q.1
Jiao, L.2
Hao, Y.3
-
19
-
-
4444353672
-
Data mining tools for biological sequences
-
Available online
-
H. Liu, and L. Wong Data mining tools for biological sequences Journal of Bioinformatics and Computational Biology 1 1 2003 139 167 Available online: http://leo.ugr.es/elvira/DBCRepository/SequenceData/TIS.html
-
(2003)
Journal of Bioinformatics and Computational Biology
, vol.1
, Issue.1
, pp. 139-167
-
-
Liu, H.1
Wong, L.2
-
20
-
-
38849132106
-
Parallel randomized sampling for support vector machine (SVM) and support vector regression (SVR)
-
Y. Lu, and V.P. Roychowdhury Parallel randomized sampling for support vector machine (SVM) and support vector regression (SVR) Journal of Knowledge and Information Systems 14 2 2008 233 247
-
(2008)
Journal of Knowledge and Information Systems
, vol.14
, Issue.2
, pp. 233-247
-
-
Lu, Y.1
Roychowdhury, V.P.2
-
24
-
-
0003120218
-
Sequential minimal optimization: A fast algorithm for training support vector machines
-
J. Platt Sequential minimal optimization: a fast algorithm for training support vector machines Advances in Kernel Methods-Support Vector Learning 1999 185 208
-
(1999)
Advances in Kernel Methods-Support Vector Learning
, pp. 185-208
-
-
Platt, J.1
-
26
-
-
0010012318
-
Incremental learning from noisy data
-
J. Schlimmer, and R. Granger Incremental learning from noisy data Machine Learning 1 3 1986 317 354
-
(1986)
Machine Learning
, vol.1
, Issue.3
, pp. 317-354
-
-
Schlimmer, J.1
Granger, R.2
-
27
-
-
0032638628
-
Least squares support vector machine classifiers
-
J.A.K. Suykens, and J. Vandewalle Least squares support vector machine classifiers Neural Processing Letters 9 3 1999 293 300
-
(1999)
Neural Processing Letters
, vol.9
, Issue.3
, pp. 293-300
-
-
Suykens, J.A.K.1
Vandewalle, J.2
-
35
-
-
78650172416
-
Robust ensemble learning for mining noisy data streams
-
P. Zhang, X. Zhu, Y. Shi, L. Guo, and X. Wu Robust ensemble learning for mining noisy data streams Decision Support Systems 50 2 2011 469 479
-
(2011)
Decision Support Systems
, vol.50
, Issue.2
, pp. 469-479
-
-
Zhang, P.1
Zhu, X.2
Shi, Y.3
Guo, L.4
Wu, X.5
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