-
2
-
-
0031146959
-
Constructive algorithms for structure learning in feedforward neural networks for regression problems
-
T.Y. Kwok, and D.Y. Yeung Constructive algorithms for structure learning in feedforward neural networks for regression problems IEEE Trans. Neural Networks 8 1997 630 645
-
(1997)
IEEE Trans. Neural Networks
, vol.8
, pp. 630-645
-
-
Kwok, T.Y.1
Yeung, D.Y.2
-
3
-
-
0036565303
-
Extraction of rules from artificial neural networks for nonlinear regression
-
R. Setiono, W.K. Leow, and J. Zurada Extraction of rules from artificial neural networks for nonlinear regression IEEE Trans. Neural Networks 13 2002 564 577
-
(2002)
IEEE Trans. Neural Networks
, vol.13
, pp. 564-577
-
-
Setiono, R.1
Leow, W.K.2
Zurada, J.3
-
5
-
-
79551561512
-
K-nn regression to improve statistical feature extraction for texture retrieval
-
F. Khelifi, and J. Jiang K-nn regression to improve statistical feature extraction for texture retrieval IEEE Trans. Image Process. 20 2011 293 298
-
(2011)
IEEE Trans. Image Process.
, vol.20
, pp. 293-298
-
-
Khelifi, F.1
Jiang, J.2
-
6
-
-
84899013173
-
Support vector regression machines
-
H. Drucker, C.J.C. Burges, L. Kaufman, A.J. Smola, and V. Vapnik Support vector regression machines Neural Inf. Process. Syst. 1996)155 161
-
(1996)
Neural Inf. Process. Syst.
, pp. 155-161
-
-
Drucker, H.1
Burges, C.J.C.2
Kaufman, L.3
Smola, A.J.4
Vapnik, V.5
-
7
-
-
0000913324
-
Svmtorch: Support vector machines for large-scale regression problems
-
R. Collobert, and S. Bengio Svmtorch: Support vector machines for large-scale regression problems J. Mach. Learn. Res. 1 2001 143 160
-
(2001)
J. Mach. Learn. Res.
, vol.1
, pp. 143-160
-
-
Collobert, R.1
Bengio, S.2
-
8
-
-
4043137356
-
A tutorial on support vector regression
-
A.J. Smola, and B. Scholkopf A tutorial on support vector regression Statist. Comput. 14 2004 199 222
-
(2004)
Statist. Comput.
, vol.14
, pp. 199-222
-
-
Smola, A.J.1
Scholkopf, B.2
-
11
-
-
68949137209
-
-
University of Wisconsin-Madison, Madison, WI, Computer Sciences Technical Report 1648
-
B. Settles, Active Learning Literature Survey. University of Wisconsin-Madison, Madison, WI, Computer Sciences Technical Report 1648, 2009.
-
(2009)
Active Learning Literature Survey
-
-
Settles, B.1
-
13
-
-
84888291217
-
Active learning methods in classification of remote sensing images
-
C.H. Chen, 2nd edition CRC Press, Taylor & Francis Boca Raton, FL, USA (Chapter 15)
-
L. Bruzzone, C. Persello, and B. Demir Active learning methods in classification of remote sensing images C.H. Chen, Signal and Image Processing for Remote Sensing 2nd edition 2012 CRC Press, Taylor & Francis Boca Raton, FL, USA 303 323 (Chapter 15)
-
(2012)
Signal and Image Processing for Remote Sensing
, pp. 303-323
-
-
Bruzzone, L.1
Persello, C.2
Demir, B.3
-
15
-
-
0033640737
-
Statistical active learning in multilayer perceptrons
-
K. Fukumizu Statistical active learning in multilayer perceptrons IEEE Trans. Neural Networks 11 2000 17 26
-
(2000)
IEEE Trans. Neural Networks
, vol.11
, pp. 17-26
-
-
Fukumizu, K.1
-
16
-
-
77951218308
-
Active learning and basis selection for kernel-based linear models: A Bayesian perspective
-
J. Paisley, X. Liao, and L. Carin Active learning and basis selection for kernel-based linear models: a Bayesian perspective IEEE Trans. Signal Process. 58 2012 2686 2700
-
(2012)
IEEE Trans. Signal Process.
, vol.58
, pp. 2686-2700
-
-
Paisley, J.1
Liao, X.2
Carin, L.3
-
19
-
-
12844286965
-
Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data
-
L. Bruzzone, and F. Melgani Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data IEEE Trans. Geosci. Remote Sens. 43 2005 159 174
-
(2005)
IEEE Trans. Geosci. Remote Sens.
, vol.43
, pp. 159-174
-
-
Bruzzone, L.1
Melgani, F.2
-
22
-
-
0042868698
-
Support vector machine active learning with applications to text classification
-
S. Tong, and D. Koller Support vector machine active learning with applications to text classification J. Mach. Learn. Res. 2001 45 66
-
(2001)
J. Mach. Learn. Res.
, pp. 45-66
-
-
Tong, S.1
Koller, D.2
-
24
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
B. Scholkopf, A. Smola, and K.R. Muller Nonlinear component analysis as a kernel eigenvalue problem Neural Comput. 10 1998 1299 1319
-
(1998)
Neural Comput.
, vol.10
, pp. 1299-1319
-
-
Scholkopf, B.1
Smola, A.2
Muller, K.R.3
-
26
-
-
79959696101
-
A system for the estimation of single tree stem diameters and volume using multireturn LIDAR data
-
M. Dalponte, L. Bruzzone, and D. Gianelle A system for the estimation of single tree stem diameters and volume using multireturn LIDAR data IEEE Trans. Geosci. Remote Sens. 49 2011 2479 2490
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, pp. 2479-2490
-
-
Dalponte, M.1
Bruzzone, L.2
Gianelle, D.3
-
27
-
-
84886567160
-
-
University of California, School of Information and Computer Science, Irvine, CA
-
K. Bache, M. Lichman, UCI Machine Learning Repository, University of California, School of Information and Computer Science, Irvine, CA, 2013 (〈http://archive.ics.uci.edu/ml〉).
-
(2013)
UCI Machine Learning Repository
-
-
Bache, K.1
Lichman, M.2
-
28
-
-
34249753618
-
Support vector networks
-
C. Cortes, and V. Vapnik Support vector networks Mach. Learn. 20 1995 273 297
-
(1995)
Mach. Learn.
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
|