Result 1 to 20 of 93 total
Support vector machines regression with $l^1$-regularizer. (English)
J. Approx. Theory 164, No. 10, 1331-1344 (2012).
1
Learning rates of Tikhonov regularized regressions based on sample dependent RKHS. (English)
J. Comput. Anal. Appl. 14, No. 2, 341-359 (2012).
2
The coefficient regularized regression with random projection. (English)
Int. J. Wavelets Multiresolut. Inf. Process. 10, No. 2, Paper No. 12, 13 p. (2012).
3
On the performance of regularized regression learning in Hilbert space. (English)
Neurocomputing 93, 41-47 (2012).
4
On dimension-independent rates of convergence for function approximation with Gaussian kernels. (English)
SIAM J. Numer. Anal. 50, No. 1, 247-271 (2012).
5
Semi-supervised learning with the help of Parzen windows. (English)
J. Math. Anal. Appl. 386, No. 1, 205-212 (2012).
6
A kernel-based framework to tensorial data analysis. (English)
Neural Netw. 24, No. 8, 861-874 (2011).
7
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).
8
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).
9
Error analysis on regularized learning. (English)
J. Hangzhou Norm. Univ., Nat. Sci. 10, No. 1, 27-33 (2011).
10
Online regression with unbounded sampling. (English)
Int. J. Comput. Math. 88, No. 14, 2936-2941 (2011).
11
Classification with non-i.i.d. sampling. (English)
Math. Comput. Modelling 54, No. 5-6, 1347-1364 (2011).
12
Deterministic multi-level algorithms for infinite-dimensional integration on $\Bbb R^{\Bbb N}$. (English)
J. Complexity 27, No. 3-4, 331-351 (2011).
13
Smoothing splines. Methods and applications. (English)
Monographs on Statistics and Applied Probability 121. Boca Raton, FL: CRC Press (ISBN 978-1-4200-7755-1/hbk; 978-1-4200-7756-8/ebook). xxiv, 370~p. \sterling~57.99; \$~89.95 (2011).
14
Optimal learning rates for least squares regularized regression with unbounded sampling. (English)
J. Complexity 27, No. 1, 55-67 (2011).
15
Lower bounds for the complexity of linear functionals in the randomized setting. (English)
J. Complexity 27, No. 1, 1-22 (2011).
16
Learning the value of a function from inaccurate data. (English)
East-West J. Math., Spec. Vol., 128-138 (2010).
17
Error analysis of multicategory support vector machine classifiers. (English)
Anal. Theory Appl. 26, No. 2, 153-173 (2010).
18
Learning gradients via an early stopping gradient descent method. (English)
J. Approx. Theory 162, No. 11, 1919-1944 (2010).
19
The complex Gaussian kernel LMS algorithm. (English)
Diamantaras, Konstantinos (ed.) et al., Artificial neural networks ‒ ICANN 2010. 20th international conference, Thessaloniki, Greece, September 15‒18, 2010. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-15821-6/pbk). Lecture Notes in Computer Science 6353, 11-20 (2010).
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Result 1 to 20 of 93 total
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