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Št. zadetkov: 7
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Oznake: napetostno korozijsko pokanje;vpliv površinske obdelave;trapezast natezni vzorec;avtoklav;pospešeni test;lahkovodni jedrski reaktor;mejna napetost;stress corrosion cracking;surface finish impact;tapered tensile specimen;autoclave;accelerated testing;light water nuclear reactor;critical threshold stress;
The applicability of an accelerated test technique using tapered tensile specimens for investigating the stress corrosion crack (SCC) initiation behaviour of structural materials in high-temperature water was assessed in the framework of a European collaborative research project (MICRIN – MItigation ...
Leto: 2020 Vir: Zavod za gradbeništvo Slovenije (ZAG)
Video in druga učna gradiva
Oznake: computer science;machine learning
We study a decomposition-based scalable approach to performing kernel ridge regression. The method is simply described: it randomly partitions a dataset of size N into m subsets of equal size, computes an independent kernel ridge regression estimator for each subset, then averages the local solution ...
Leto: 2013 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;computational learning theory;statistical learning;unsupervised learning;supervised learning;on-line learning
Under a standard assumption in complexity theory (NP not in P/poly), we demonstrate a gap between the minimax prediction risk for sparse linear regression that can be achieved by polynomial-time algorithms, and that achieved by optimal algorithms. In particular, when the design matrix is ill-conditi ...
Leto: 2014 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning
We study the following generalized matrix rank estimation problem: given an n-by-n matrix and a constant c>0, estimate the number of eigenvalues that are greater than c. In the distributed setting, the matrix of interest is the sum of m matrices held by separate machines. We show that any determinis ...
Leto: 2015 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning
We propose a new distributed algorithm for empirical risk minimization in machine learning. The algorithm is based on an inexact damped Newton method, where the inexact Newton steps are computed by a distributed preconditioned conjugate gradient method. We analyze its iteration complexity and commun ...
Leto: 2015 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning
We consider a generic convex optimization problem associated with regularized empirical risk minimization of linear predictors. The problem structure allows us to reformulate it as a convex-concave saddle point problem. We propose a stochastic primal-dual coordinate method, which alternates between ...
Leto: 2015 Vir: videolectures.net
Št. zadetkov: 7
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