Result 1 to 20 of 306 total
Wavelet-RKHS-based functional statistical classification. (English)
Adv. Data Anal. Classif., ADAC 6, No. 3, 201-217 (2012).
1
The convergence rate of a regularized ranking algorithm. (English)
J. Approx. Theory 164, No. 12, 1513-1519 (2012).
2
Support vector machines regression with $l^1$-regularizer. (English)
J. Approx. Theory 164, No. 10, 1331-1344 (2012).
3
Twin Mahalanobis distance-based support vector machines for pattern recognition. (English)
Inf. Sci. 200, 22-37 (2012).
4
On the continuous wavelet transform on homogeneous spaces. (English)
Int. J. Wavelets Multiresolut. Inf. Process. 10, No. 4, 1250038, 18 p. (2012).
5
Learning rates of Tikhonov regularized regressions based on sample dependent RKHS. (English)
J. Comput. Anal. Appl. 14, No. 2, 341-359 (2012).
6
The coefficient regularized regression with random projection. (English)
Int. J. Wavelets Multiresolut. Inf. Process. 10, No. 2, Paper No. 12, 13 p. (2012).
7
On the performance of regularized regression learning in Hilbert space. (English)
Neurocomputing 93, 41-47 (2012).
8
Bayesian nonlinear regression for large $p$ small $n$ problems. (English)
J. Multivariate Anal. 108, 28-40 (2012).
9
An empirical feature-based learning algorithm producing sparse approximations. (English)
Appl. Comput. Harmon. Anal. 32, No. 3, 389-400 (2012).
10
On dimension-independent rates of convergence for function approximation with Gaussian kernels. (English)
SIAM J. Numer. Anal. 50, No. 1, 247-271 (2012).
11
Sampling in reproducing kernel Banach spaces on Lie groups. (English)
J. Approx. Theory 164, No. 1, 179-203 (2012).
12
Semi-supervised learning with the help of Parzen windows. (English)
J. Math. Anal. Appl. 386, No. 1, 205-212 (2012).
13
A kernel-based framework to tensorial data analysis. (English)
Neural Netw. 24, No. 8, 861-874 (2011).
14
The convergence rate of learning algorithms for least square regression with sample dependent hypothesis spaces. (Chinese)
J. Baoji Univ. Arts Sci., Nat. Sci. 31, No. 3, 5-9 (2011).
15
Principal support vector machines for linear and nonlinear sufficient dimension reduction. (English)
Ann. Stat. 39, No. 6, 3182-3210 (2011).
16
Accurate emulators for large-scale computer experiments. (English)
Ann. Stat. 39, No. 6, 2974-3002 (2011).
17
Multi-view Laplacian support vector machines. (English)
Tang, Jie (ed.) et al., Advanced data mining and applications. 7th international conference, ADMA 2011, Beijing, China, December 17‒19, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-25855-8/pbk). Lecture Notes in Computer Science 7121. Lecture Notes in Artificial Intelligence, 209-222 (2011).
18
Quasi-Monte Carlo methods for high-dimensional integration: the standard (weighted Hilbert space) setting and beyond. (English)
ANZIAM J. 53, No. 1, 1-37 (2011).
19
Normal estimation on manifolds by gradient learning. (English)
Numer. Linear Algebra Appl. 18, No. 2, 249-259 (2011).
20
Result 1 to 20 of 306 total
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