-
1
-
-
5844297152
-
Theory of reproducing kernels
-
Aronszajn N (1950) Theory of reproducing kernels. Trans Am Soc 68: 337-404.
-
(1950)
Trans Am Soc
, vol.68
, pp. 337-404
-
-
Aronszajn, N.1
-
3
-
-
0000973081
-
Minimum complexity regression estimation with weakly dependent observations
-
Modha S, Masry E (1996) Minimum complexity regression estimation with weakly dependent observations. IEEE Trans Inf Theory 42: 2133-2145.
-
(1996)
IEEE Trans Inf Theory
, vol.42
, pp. 2133-2145
-
-
Modha, S.1
Masry, E.2
-
4
-
-
40949097762
-
Learning rates of regularized regression for exponentially strongly mixing sequence
-
Xu YL, Chen DR (2008) Learning rates of regularized regression for exponentially strongly mixing sequence. J Stat Plan Inference 138: 2180-2189.
-
(2008)
J Stat Plan Inference
, vol.138
, pp. 2180-2189
-
-
Xu, Y.L.1
Chen, D.R.2
-
5
-
-
77951769307
-
Regularized least square regression with dependent samples
-
Sun HW, Wu Q (2010) Regularized least square regression with dependent samples. Adv Comput Math 32: 175-189.
-
(2010)
Adv Comput Math
, vol.32
, pp. 175-189
-
-
Sun, H.W.1
Wu, Q.2
-
6
-
-
0002605356
-
A central theorem and strong mixing conditions
-
Rosenblatt M (1956) A central theorem and strong mixing conditions. Proc Natl Acad Sci 4: 43-47.
-
(1956)
Proc Natl Acad Sci
, vol.4
, pp. 43-47
-
-
Rosenblatt, M.1
-
8
-
-
0003161174
-
Rates of convergence for empirical processes of stationary mixing sequences
-
Yu B (1994) Rates of convergence for empirical processes of stationary mixing sequences. Ann Probab 22: 94-114.
-
(1994)
Ann Probab
, vol.22
, pp. 94-114
-
-
Yu, B.1
-
9
-
-
67349220691
-
The generalization performance of ERM algorithm with strongly mixing observations
-
Zou B, Li LQ, Xu ZB (2009) The generalization performance of ERM algorithm with strongly mixing observations. Mach Learn 75: 275-295.
-
(2009)
Mach Learn
, vol.75
, pp. 275-295
-
-
Zou, B.1
Li, L.Q.2
Xu, Z.B.3
-
10
-
-
80051982737
-
Recent advances in machine learning techniques and applications
-
Sidorov G, Koeppen M, Cruz-Corts N (2011) Recent advances in machine learning techniques and applications. Int J Mach Learn Cybern 2(3): 123-124.
-
(2011)
Int J Mach Learn Cybern
, vol.2
, Issue.3
, pp. 123-124
-
-
Sidorov, G.1
Koeppen, M.2
Cruz-Corts, N.3
-
11
-
-
79952937863
-
Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery
-
Liu Z, Wu QH, Zhang Y, Philip Chen CL (2011) Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery. Int J Mach Learn Cybern 2(1): 37-47.
-
(2011)
Int J Mach Learn Cybern
, vol.2
, Issue.1
, pp. 37-47
-
-
Liu, Z.1
Wu, Q.H.2
Zhang, Y.3
Philip Chen, C.L.4
-
12
-
-
43949111665
-
Fast fuzzy multi-category SVM based on support vector domain description
-
Wang XZ, Lu SX, Zhai JH (2008) Fast fuzzy multi-category SVM based on support vector domain description. Int J Pattern Recogn Artif Intell 22(1): 109-120.
-
(2008)
Int J Pattern Recogn Artif Intell
, vol.22
, Issue.1
, pp. 109-120
-
-
Wang, X.Z.1
Lu, S.X.2
Zhai, J.H.3
-
13
-
-
79952929457
-
Separating theorem of samples in Banach space for support vector machine learning
-
He Q, Wu CX (2011) Separating theorem of samples in Banach space for support vector machine learning. Int J Mach Learn Cybern 2(1): 49-54.
-
(2011)
Int J Mach Learn Cybern
, vol.2
, Issue.1
, pp. 49-54
-
-
He, Q.1
Wu, C.X.2
-
14
-
-
79952312481
-
Margin-based active learning for structured predictions
-
Small K, Roth D (2010) Margin-based active learning for structured predictions. Int J Mach Learn Cybern 1(1-4): 3-25.
-
(2010)
Int J Mach Learn Cybern
, vol.1
, Issue.1-4
, pp. 3-25
-
-
Small, K.1
Roth, D.2
-
15
-
-
33750972277
-
A nonlinear integral defined on partition and its application to decision trees
-
Wang XZ, Zhang SF, Zhai JH (2007) A nonlinear integral defined on partition and its application to decision trees. Soft Comput 11(4): 317-321.
-
(2007)
Soft Comput
, vol.11
, Issue.4
, pp. 317-321
-
-
Wang, X.Z.1
Zhang, S.F.2
Zhai, J.H.3
-
19
-
-
0036071370
-
On the mathematical foundations of learning
-
Cucker F, Smale S (2001) On the mathematical foundations of learning. Bull Am Math Soc 39: 1-49.
-
(2001)
Bull Am Math Soc
, vol.39
, pp. 1-49
-
-
Cucker, F.1
Smale, S.2
-
21
-
-
0036436325
-
Best choice for regularization parameters in learning theory: on the bias-variance problem
-
Cucker F, Smale S (2002) Best choice for regularization parameters in learning theory: on the bias-variance problem. Found Comput Math 2: 413-428.
-
(2002)
Comput. Math
, vol.2
, pp. 413-428
-
-
Cucker, F.1
Smale, S.2
|