文件名 类型 |
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日期 |
描述 |
作者 |
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bartlett |
<dir> |
01/22/2019 01:13:22 PM |
none |
none |
Bin Zou |
<dir> |
01/22/2019 01:13:22 PM |
none |
none |
butcher |
<dir> |
01/22/2019 01:13:22 PM |
none |
none |
Cucker |
<dir> |
03/30/2022 11:09:48 AM |
none |
none |
differential privacy |
<dir> |
01/22/2019 01:13:23 PM |
none |
none |
elastic net |
<dir> |
01/22/2019 01:13:25 PM |
none |
none |
Guibo Ye |
<dir> |
01/22/2019 01:13:25 PM |
none |
none |
Micchelli |
<dir> |
01/22/2019 01:13:25 PM |
none |
none |
PHD thesis |
<dir> |
09/28/2019 06:40:14 PM |
none |
none |
pinelis |
<dir> |
01/22/2019 01:13:26 PM |
none |
none |
Quanwu Xiao |
<dir> |
01/22/2019 01:13:27 PM |
none |
none |
Regularized sliced inverse regression for kernel models |
<dir> |
01/22/2019 01:13:27 PM |
none |
none |
Sayan Mukherjee |
<dir> |
01/22/2019 01:13:28 PM |
none |
none |
semi-supervised learning |
<dir> |
01/22/2019 01:13:28 PM |
none |
none |
Smale |
<dir> |
04/01/2020 11:49:36 AM |
none |
none |
steinwart |
<dir> |
06/06/2020 08:00:06 AM |
none |
none |
Tong Zhang |
<dir> |
01/22/2019 01:13:29 PM |
none |
none |
Xin Guo |
<dir> |
01/22/2019 01:13:29 PM |
none |
none |
Zongben Xu |
<dir> |
01/22/2019 01:13:29 PM |
none |
none |
A note on different covering numbers in Learning Theory.pdf |
138KB |
05/17/2009 11:52:18 PM |
none |
none |
A Supplementary Sample Non-Parametric Empirical Bayes Approach to Some Statistical Decision Problems.pdf |
215KB |
01/25/2008 12:39:14 AM |
none |
none |
A tail inequality for suprema of unbounded.PDF |
339KB |
08/19/2011 02:00:18 PM |
none |
none |
Adaptive Model Selection Using Empirical Complexities.pdf |
292KB |
05/15/2009 09:29:36 PM |
none |
none |
alon97.pdf |
260KB |
10/31/2015 08:21:10 PM |
none |
none |
An Asymptotic Theory for Sliced Inverse Regression.PDF |
502KB |
03/11/2008 07:34:38 PM |
none |
none |
An Introduction to Lagrange Multipliers.doc |
107KB |
08/08/2008 10:26:02 PM |
none |
none |
Analysis of Support Vector Machines Regression.pdf |
522KB |
11/10/2008 08:52:36 PM |
none |
none |
approxCluster_tr[1].pdf |
292KB |
06/23/2009 05:12:28 PM |
none |
none |
Approximation in learning theory.PDF |
394KB |
01/20/2011 04:14:40 PM |
none |
none |
arxiv0903.3002.pdf |
6240KB |
12/24/2010 12:05:02 PM |
none |
none |
Concentration inequalities for dependent random variables via the martingale method.pdf |
324KB |
05/04/2010 08:49:24 PM |
none |
none |
Concentration Inequalities.PDF |
256KB |
08/31/2011 11:27:06 PM |
none |
none |
Consistency of empirical risk minimization for unbounded loss functions.pdf |
157KB |
11/26/2008 07:13:58 PM |
none |
none |
Consistent estimation of the dimensionality in sliced inverse regression.PDF |
246KB |
03/10/2008 05:32:42 PM |
none |
none |
Covering Number Bounds of Certain Regularized Linear Function Classes.pdf |
227KB |
05/29/2009 08:29:10 PM |
none |
none |
Detecting the community structure in complex networks based on quantum mechanics.pdf |
779KB |
07/26/2008 11:52:20 PM |
none |
none |
Dimension Reduction for Conditional Mean in Regression.PDF |
438KB |
03/11/2008 06:25:06 PM |
none |
none |
Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces.pdf |
333KB |
07/31/2008 12:14:40 AM |
none |
none |
Elastic-net regularization in learning theory.PDF |
1300KB |
01/20/2011 04:04:50 PM |
none |
none |
Estimating Surface Normals in Noisy Point Cloud Data.pdf |
445KB |
12/18/2008 06:45:46 PM |
none |
none |
Extending Sliced Inverse Regression The Weighted Chi-Squared Test.PDF |
322KB |
03/11/2008 11:53:36 PM |
none |
none |
Fast Rates for Support Vector Machines using Gaussian Kernels.pdf |
403KB |
07/21/2009 01:02:20 AM |
none |
none |
hoeffding63.pdf |
874KB |
11/15/2015 08:23:34 AM |
none |
none |
Implicit Surface Modelling with a Globally Regularised Basis of Compact Support.pdf |
1702KB |
07/18/2008 07:38:46 PM |
none |
none |
Injective Hilbert Space Embeddings of Probability Measures.pdf |
318KB |
07/25/2008 07:38:36 PM |
none |
none |
Lagrange Multipliers without Permanent Scarring.pdf |
245KB |
08/08/2008 10:26:02 PM |
none |
none |
Learning from non-identical sampling for classification.pdf |
394KB |
11/10/2010 05:18:18 PM |
none |
none |
learning rates of least-square____ regression with l_1 regularizers.pdf |
135KB |
12/09/2009 05:37:00 PM |
none |
none |
Learning Trigonometric Polynomials from Random Samples and Exponential Inequalities for Eigenvalues of Random Matrices.pdf |
207KB |
02/01/2008 07:46:04 PM |
none |
none |
least square regularized regression with non i.i.d sampling.pdf |
188KB |
12/09/2009 05:36:04 PM |
none |
none |
Local Rademacher complexities.pdf |
426KB |
05/15/2009 09:20:46 PM |
none |
none |
Logarithmic Potential Theory with Applications to Approximation Theory.PDF |
323KB |
12/07/2009 06:08:06 PM |
none |
none |
Making Indefinite Kernel Learning Practical.PDF |
229KB |
01/10/2013 09:25:18 PM |
none |
none |
Max-margin Classification of Data with Absent Features.pdf |
282KB |
11/11/2009 06:22:02 PM |
none |
none |
Measurement Error Regression with Unknown Link Dimension Reduction and Data Visualization.PDF |
390KB |
03/11/2008 02:30:24 AM |
none |
none |
MIT-CSAIL-TR-2008-070.pdf |
1579KB |
12/23/2008 05:40:34 PM |
none |
none |
Model Selection for Regularized Least-Squares Algorithm in Learning Theory.pdf |
318KB |
07/19/2009 06:31:44 AM |
none |
none |
Multicategory support vector machines.pdf |
837KB |
02/23/2010 08:52:24 PM |
none |
none |
Non-uniform Randomized Sampling for Multivariate Approximation by High Order Parzen Windows.pdf |
176KB |
12/09/2008 05:26:10 PM |
none |
none |
Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression.pdf |
488KB |
10/20/2008 06:33:18 PM |
none |
none |
nonparametric change-point estimation.pdf |
923KB |
12/03/2009 09:28:46 PM |
none |
none |
nonparametric independent component analysis.pdf |
152KB |
08/01/2008 04:51:06 AM |
none |
none |
On Early Stopping in Gradient Descent Learning.pdf |
286KB |
03/09/2010 07:48:16 PM |
none |
none |
On kernel method for sliced average variance estimation.PDF |
260KB |
03/10/2008 09:08:48 PM |
none |
none |
ON MODEL SELECTION CONSISTENCY OF LASSO.pdf |
192KB |
11/03/2008 06:32:46 PM |
none |
none |
On Recovery of Sparse Signals via l1 Minimization.pdf |
222KB |
01/20/2010 10:13:56 PM |
none |
none |
On the influence of the kernel on the consistency of support vector machines.pdf |
288KB |
11/18/2009 11:46:46 PM |
none |
none |
On the V-gamma dimension for regression in Reproducing Kernel Hilbert Spaces.pdf |
162KB |
02/21/2010 07:23:24 PM |
none |
none |
Optimal global rates of convergence for nonparametric regression with unbounded data.pdf |
199KB |
07/26/2009 08:19:10 AM |
none |
none |
Optimal Rates for the Regularized Least-Squares Algorithm.pdf |
436KB |
02/25/2010 01:55:30 AM |
none |
none |
parzen62.pdf |
770KB |
03/10/2014 01:30:18 PM |
none |
none |
probability inequalities for sums of independent random variables.pdf |
374KB |
02/20/2009 11:19:16 PM |
none |
none |
randomdesign-arxiv.pdf |
322KB |
08/09/2011 07:59:20 PM |
none |
none |
Rates of Convergence for Empirical Processes of Stationary Mixing Sequences.pdf |
1808KB |
04/20/2010 05:20:12 PM |
none |
none |
regression shrinkage and selection via the lasso.pdf |
2001KB |
11/10/2008 09:20:42 PM |
none |
none |
REGRESSION_QUANTILES.pdf |
711KB |
04/11/2015 11:05:18 PM |
none |
none |
Regularization and statistical learning theory for data analysis.pdf |
118KB |
01/26/2010 09:07:16 PM |
none |
none |
REGULARIZATION IN KERNEL LEARNING.pdf |
345KB |
02/25/2010 07:58:46 PM |
none |
none |
Regularization Networks and Support Vector Machines.pdf |
404KB |
01/26/2010 09:23:52 PM |
none |
none |
Regularized least square regression with dependent samples.pdf |
361KB |
07/31/2009 06:36:50 PM |
none |
none |
regularizers for structured sparsity.pdf |
418KB |
12/24/2010 11:40:48 AM |
none |
none |
rejchel12a.pdf |
154KB |
08/12/2012 08:56:34 PM |
none |
none |
Robust uncertainty principles exact signal reconstruction from highly incomplete frequency information.pdf |
1153KB |
01/02/2009 01:59:32 AM |
none |
none |
rosasco05.PDF |
226KB |
08/12/2010 07:53:16 PM |
none |
none |
Rosasco10a.pdf |
224KB |
07/03/2010 08:45:50 PM |
none |
none |
RSIR Regularized Sliced Inverse Regression for Motif Discovery.PDF |
700KB |
03/19/2008 11:20:22 PM |
none |
none |
sensitivity.pdf |
279KB |
07/08/2015 09:14:31 PM |
none |
none |
Sliced Inverse Regression with Regularizations.PDF |
185KB |
03/19/2008 10:47:38 PM |
none |
none |
Sliced mean variance–covariance inverse regression.PDF |
928KB |
03/10/2008 04:57:52 PM |
none |
none |
Some Sharp Performance Bounds for Least Squares Regression with L1 Regularization.PDF |
338KB |
05/08/2009 05:07:42 PM |
none |
none |
sparse online learning via truncated gradient.pdf |
281KB |
10/27/2009 05:37:04 PM |
none |
none |
spectral algorithms for supervised learning.pdf |
340KB |
08/09/2008 08:09:06 PM |
none |
none |
Stability Bounds for Stationary j-mixing and b-mixing Processes.pdf |
203KB |
04/26/2010 08:50:28 PM |
none |
none |
Statistical Consistency of Kernel Canonical Correlation Analysis.pdf |
360KB |
07/25/2008 07:37:30 PM |
none |
none |
Statistical performance of support vector machines.pdf |
456KB |
05/20/2009 12:43:52 AM |
none |
none |
Structural Risk Minimization over Data-Dependent Hierarchies.pdf |
218KB |
05/08/2010 05:49:04 PM |
none |
none |
subgaussian random variables.pdf |
104KB |
08/09/2011 01:02:58 PM |
none |
none |
Sufficient Dimension Reduction in Regressions with Categorical Predictors.pdf |
478KB |
01/24/2008 06:34:22 PM |
none |
none |
The Empirical Bayes Approach Estimating the Prior Distribution.pdf |
102KB |
01/25/2008 12:39:14 AM |
none |
none |
THEORY OF CLASSIFICATION A SURVEY OF SOME RECENT ADVANCES.PDF |
495KB |
06/03/2012 10:19:32 AM |
none |
none |
variable selection via nonconcave penalized likelyhood and its oracle properties.pdf |
390KB |
04/04/2003 12:20:54 PM |
none |
none |