哑剧
发表于 2025-3-30 08:51:15
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GLUE
发表于 2025-3-30 14:42:56
Pivotal Estimation in High-Dimensional Regression via Linear Programmingroscedasticity, and does not require knowledge of the variance of random errors. The method is based on linear programming only, so that its numerical implementation is faster than for previously known techniques using conic programs, and it allows one to deal with higher-dimensional models. We prov
machination
发表于 2025-3-30 19:07:08
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Keshan-disease
发表于 2025-3-30 22:16:06
https://doi.org/10.1007/978-3-662-36877-0uation of fixed design and i.i.d. Gaussian errors with known variance. Following Gautier and Tsybakov (High-dimensional instrumental variables regression and confidence sets. ArXiv e-prints 1105.2454, 2011), we obtain the results under weaker sensitivity assumptions than the restricted eigenvalue or assimilated conditions.
Cloudburst
发表于 2025-3-31 03:32:14
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liposuction
发表于 2025-3-31 05:24:58
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蛙鸣声
发表于 2025-3-31 10:09:40
Some Remarks on the Statistical Analysis of SVMs and Related Methodscade witnessed a shift towards consistencyConsistency, oracle inequalities, and learning ratesLearning rate. We discuss some of these developments in view of binary classificationBinary classification and least squares regressionLeast squares regression.
享乐主义者
发表于 2025-3-31 14:37:23
Explaining AdaBoostsed and studied, with applications in numerous fields. This chapter aims to review some of the many perspectives and analyses of AdaBoost that have been applied to explain or understand it as a learning method, with comparisons of both the strengths and weaknesses of the various approaches.