-
1
-
-
63249112814
-
Dimensionality and sample size considerations in pattern recognition practice
-
P. R. Krishnaiah and L. N. Kanal, Eds. Amsterdam: North-Holland
-
A. K. Jain and B. Chandrasekaran, "Dimensionality and sample size considerations in pattern recognition practice," in Handbook of Statistics, P. R. Krishnaiah and L. N. Kanal, Eds. Amsterdam: North-Holland, 1987, vol. 2, pp. 835-855.
-
(1987)
Handbook of Statistics
, vol.2
, pp. 835-855
-
-
Jain, A.K.1
Chandrasekaran, B.2
-
2
-
-
0026120032
-
Small sample size effects in statistical pattern recognition: Recommendations for practitioners
-
S. Raudys and A. K. Jain, "Small sample size effects in statistical pattern recognition: Recommendations for practitioners," IEEE Trans. Pattern Anal. Machine Intell., vol. 13, pp. 252-264, 1991.
-
(1991)
IEEE Trans. Pattern Anal. Machine Intell.
, vol.13
, pp. 252-264
-
-
Raudys, S.1
Jain, A.K.2
-
3
-
-
0026858102
-
Noise injection into inputs in back-propagation learning
-
K. Matsuoka, "Noise injection into inputs in back-propagation learning," IEEE Trans. Syst., Man, Cybern., vol. 22, pp. 436-440, 1992.
-
(1992)
IEEE Trans. Syst., Man, Cybern.
, vol.22
, pp. 436-440
-
-
Matsuoka, K.1
-
4
-
-
19544389805
-
Optimal regularization of neural networks and ridge estimates of the covariance matrix in statistical classification
-
Š. Raudys, M. Skurichina, T. Cibas, and P. Gallinari, "Optimal regularization of neural networks and ridge estimates of the covariance matrix in statistical classification," Pattern Recognition Image Anal.: Advances Math. Theory Applicat. (Int. J. Russian Academy Sci.), vol. 5, no. 4, pp. 633-650, 1995.
-
(1995)
Pattern Recognition Image Anal.: Advances Math. Theory Applicat. (Int. J. Russian Academy Sci.)
, vol.5
, Issue.4
, pp. 633-650
-
-
Raudys, Š.1
Skurichina, M.2
Cibas, T.3
Gallinari, P.4
-
5
-
-
0141619103
-
Nearest neighbor interpolation for error estimation and classifier optimization
-
Tromso, Norway
-
R. P. W. Duin, "Nearest neighbor interpolation for error estimation and classifier optimization," in Proc. 8th Scandinavian Conf. Image Anal.. Tromso, Norway, 1993, pp. 5-6.
-
(1993)
Proc. 8th Scandinavian Conf. Image Anal.
, pp. 5-6
-
-
Duin, R.P.W.1
-
6
-
-
0032121371
-
Bagging for linear classifiers
-
M. Skurichina and R. P. W. Duin, "Bagging for linear classifiers," Pattern Recognition, vol. 31, no. 7, pp. 909-930, 1998.
-
(1998)
Pattern Recognition
, vol.31
, Issue.7
, pp. 909-930
-
-
Skurichina, M.1
Duin, R.P.W.2
-
7
-
-
33749902226
-
Stochastic dynamics and learning rules in layered neural networks
-
Apr.
-
H. Sakagushi, "Stochastic dynamics and learning rules in layered neural networks,"Progress Theoretical Phys., vol. 83, no. 4, pp. 693-700, Apr. 1990.
-
(1990)
Progress Theoretical Phys.
, vol.83
, Issue.4
, pp. 693-700
-
-
Sakagushi, H.1
-
11
-
-
0343782840
-
On determining the training sample size of linear classifier
-
Š. Raudys, "On determining the training sample size of linear classifier," Comput. Syst., vol. 28, pp. 79-87, 1967.
-
(1967)
Comput. Syst.
, vol.28
, pp. 79-87
-
-
Raudys, Š.1
-
12
-
-
0039596305
-
On the problems of sample size in pattern recognition
-
Moscow, Russia
-
_, "On the problems of sample size in pattern recognition," in Proc. 2nd All-Union Conf. Statist. Methods Contr. Theory. Moscow, Russia, 1970, pp. 64-67.
-
(1970)
Proc. 2nd All-Union Conf. Statist. Methods Contr. Theory
, pp. 64-67
-
-
-
13
-
-
84974765217
-
On the effectiveness of Parzen window classifier
-
Vilnius, Lithuania: MII
-
_, "On the effectiveness of Parzen window classifier," in Informatica. Vilnius, Lithuania: MII, 1991, vol. 2, pp. 434-454.
-
(1991)
Informatica
, vol.2
, pp. 434-454
-
-
-
14
-
-
84974762231
-
On the shape of pattern error function, initializations and intrinsic dimensionality in ANN classifier design
-
_, "On the shape of pattern error function, initializations and intrinsic dimensionality in ANN classifier design," Informatica, vol. 3, no. 3-4, pp. 360-383, 1993.
-
(1993)
Informatica
, vol.3
, Issue.3-4
, pp. 360-383
-
-
-
15
-
-
0038035066
-
Small sample properties of ridge estimate of the covariance matrix in statistical and neural-net classification
-
Tartu-Puhajarve, Estonia, May
-
S. Raudys and M. Skurichina, "Small sample properties of ridge estimate of the covariance matrix in statistical and neural-net classification," in New Trends Probability Statist. 3: Multivariate Statist. Matrices Statistics, Proc. 5th Tartu Conf., Tartu-Puhajarve, Estonia, May 1994, pp. 237-245.
-
(1994)
New Trends Probability Statist. 3: Multivariate Statist. Matrices Statistics, Proc. 5th Tartu Conf.
, pp. 237-245
-
-
Raudys, S.1
Skurichina, M.2
-
16
-
-
0001529784
-
Remarks on some nonparametric estimates of a density function
-
M. Rozenblatt, "Remarks on some nonparametric estimates of a density function," Ann. Math. Statist., vol. 27, pp. 832-837, 1956.
-
(1956)
Ann. Math. Statist.
, vol.27
, pp. 832-837
-
-
Rozenblatt, M.1
-
17
-
-
33749904408
-
ZET - An algorithm of filling gaps in experimental data tables
-
N. G. Zagoruiko, V. N. Elkina, and V. S. Temirkaev, "ZET - An algorithm of filling gaps in experimental data tables," Comput. Syst., vol. 67, pp. 3-28, 1976.
-
(1976)
Comput. Syst.
, vol.67
, pp. 3-28
-
-
Zagoruiko, N.G.1
Elkina, V.N.2
Temirkaev, V.S.3
-
18
-
-
0014392955
-
On dimensionality and sample size in statistical pattern classification
-
L. N. Kanal and B. Chandrasekaran, "On dimensionality and sample size in statistical pattern classification," in Proc. NEC, vol. 24, 1971, pp. 2-7.
-
(1971)
Proc. NEC
, vol.24
, pp. 2-7
-
-
Kanal, L.N.1
Chandrasekaran, B.2
-
20
-
-
84942484786
-
Ridge-regression: Biased estimation of nonorthogonal problems
-
A. E. Hoerl and R. W. Kennard, "Ridge-regression: Biased estimation of nonorthogonal problems," Technometrics, vol. 12, pp. 55-67, 1970.
-
(1970)
Technometrics
, vol.12
, pp. 55-67
-
-
Hoerl, A.E.1
Kennard, R.W.2
-
21
-
-
0003794792
-
-
Carnegie Mellon University, Pittsburgh, PA, Tech. Rep. CMU-CS-86-126
-
D. Plaut, S. Nowlan, and G. Hinton, "Experiments on learning by back-propagation," Carnegie Mellon University, Pittsburgh, PA, Tech. Rep. CMU-CS-86-126, 1986.
-
(1986)
Experiments on Learning by Back-propagation
-
-
Plaut, D.1
Nowlan, S.2
Hinton, G.3
-
22
-
-
0000764772
-
The use of multiple measurements in taxonomic problems
-
R. A. Fisher, "The use of multiple measurements in taxonomic problems," Ann. Eugenics, pt. II, vol. 7, pp. 179-188, 1936.
-
(1936)
Ann. Eugenics
, vol.7
, Issue.2 PART
, pp. 179-188
-
-
Fisher, R.A.1
-
23
-
-
0001473437
-
On estimation of a probability density function and mode
-
E. Parzen, "On estimation of a probability density function and mode," Ann. Math. Statist., vol. 33, pp. 1065-1076, 1962.
-
(1962)
Ann. Math. Statist.
, vol.33
, pp. 1065-1076
-
-
Parzen, E.1
-
24
-
-
84887916087
-
Regularized discriminant analysis
-
J. H. Friedman, "Regularized discriminant analysis," J. Amer. Statist. Assoc. (JASA), vol. 84, pp. 165-175, 1989.
-
(1989)
J. Amer. Statist. Assoc. (JASA)
, vol.84
, pp. 165-175
-
-
Friedman, J.H.1
-
25
-
-
0040927527
-
-
Dept. Elect. Eng., Linkoping Univ., Sweden, Tech. Rep.
-
J. Sjoberg and L. Ljung, "Overtraining, regularization and searching for a minimum in neural networks," Dept. Elect. Eng., Linkoping Univ., Sweden, Tech. Rep., 1991.
-
(1991)
Overtraining, Regularization and Searching for a Minimum in Neural Networks
-
-
Sjoberg, J.1
Ljung, L.2
-
26
-
-
0001740650
-
Training with noise is equivalent to Tikhonov regularization
-
C. M. Bishop, "Training with noise is equivalent to Tikhonov regularization," Neural Comput., vol. 7, no. 1, pp. 108-116, 1995.
-
(1995)
Neural Comput.
, vol.7
, Issue.1
, pp. 108-116
-
-
Bishop, C.M.1
-
27
-
-
0008847393
-
From data distributions to regularization in invariant learning
-
T. K. Leen, "From data distributions to regularization in invariant learning," Neural Comput., vol. 7, no. 5, pp. 974-981, 1995.
-
(1995)
Neural Comput.
, vol.7
, Issue.5
, pp. 974-981
-
-
Leen, T.K.1
-
28
-
-
0013230715
-
Noise injection: Theoretical prospects
-
Y. Grandvalet, S. Canu, and S. Boucheron, "Noise injection: Theoretical prospects," Neural Comput., vol. 9, no. 5, pp. 1093-1108, 1997.
-
(1997)
Neural Comput.
, vol.9
, Issue.5
, pp. 1093-1108
-
-
Grandvalet, Y.1
Canu, S.2
Boucheron, S.3
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