Št. zadetkov: 9
Rik-Wouter Bosch,
Stefan Ritter,
Matthias Herbst,
Renate Kilian,
Grace Burke,
Jonathan Duff,
Fabio Scenini,
Yuchen Gu,
Alice Dinu,
Ulla Ehrnsten,
Aki Toivonen,
Radek Novotny,
Oliver Martin,
Francisco Javier Perosanz,
Andraž Legat,
Bojan Zajec
Izvirni znanstveni članek
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
Izvirni znanstveni članek
Oznake:
attention economy;technology addiction;Mencius (Mengzi);mutual aid;Confucianism;
In the attention economy, technology companies derive their primary profits not from direct content consumption but from advertising revenue generated by capturing users’ attention. This relentless pursuit of attention has led to widespread issues of addiction to social media, pornography, and video ...
Leto:
0
Vir:
Filozofska fakulteta (UL FF)
Izvirni znanstveni članek
Oznake:
Mengzi;Confucianism;pacifism;realism;just war theory;
This paper reviews the prevalent interpretative approaches to Mengzi’s political philosophy in contemporary academia, including realism, just war theory, and just war pacifism, and proposes an alternative interpretative framework based on positive-pragmatic pacifism. The main contributions of this ...
Leto:
0
Vir:
Filozofska fakulteta (UL FF)
Hongjun Jia ,
Dijia Wu ,
German Gonzalez Serrano ,
Gustavo Carneiro ,
Min Liu ,
Tsz Wai Wong ,
Darko Zikic ,
Ganesh Sundaramoorthi ,
Swapna Joshi ,
Rongjie Lai ,
Xiaodong Wu ,
Bernard Ng ,
Branislav Micusik ,
Verena Kaynig ,
Xiaojing Long ,
Dirk Padfield ,
Johannes Feulner ,
Yuchen Xie ,
Jiyan Pan ,
Matthias Schneider
Video in druga učna gradiva
Oznake:
computer science;computer vision;stereo & structure from motion
Leto:
2010
Vir:
videolectures.net