Št. zadetkov: 28
Pregledni znanstveni članek
Oznake:
primary healthcare system;quality;multimorbidity;chronic disease;
Primary health care systems (PHCS) can be highly effective at meeting the healthcare needs of people with chronic or multiple morbidity. Under the right conditions it is also the best setting to assess health more generally and to intervene when health risks are identified. For people with an establ ...
Leto:
2012
Vir:
Repozitorij Univerze na Primorskem (RUP)
Video in druga učna gradiva
Oznake:
science;complexity science;computer science;data science;mathematics;physics
[[https://networkx.github.io/documentation/networkx-1.9.1/reference/introduction.html|NetworkX]] provides data structures for graphs (or networks) along with graph algorithms, generators, and drawing tools.
The structure of NetworkX can be seen by the organization of its source code. The package ...
Leto:
2017
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;clustering;social sciences;economics;instance-based learning
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and applies a modified competitive learning technique to predict the ranks of stocks. The primary target of PR is to select the ...
Leto:
2007
Vir:
videolectures.net
Magistrsko delo
Oznake:
China;banking systems;banking;banks;costs;efficiency;research;analysis;
Cost efficiency analysis of China's banking sector based on SFA approach
Leto:
2012
Vir:
Ekonomska fakulteta (UL EF)
Video in druga učna gradiva
Oznake:
computer science;artificial intelligence
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (exponential) number of possible label sets, the task of learning from multi-label examples is rather challenging. Therefore ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;regression
Although the standard formulations of prediction problems involve fully-observed and noiseless data drawn in an i.i.d. manner, many applications involve noisy and/or missing data, possibly involving dependencies. We study these issues in the context of high-dimensional sparse linear regression, and ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;graphical models
We investigate the relationship between the support of the inverses of generalized covariance matrices and the structure of a discrete graphical model. We show that for certain graph structures, the support of the inverse covariance matrix of indicator variables on the vertices of a graph reflects t ...
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
We establish theoretical results concerning all local optima of various regularized M-estimators, where both loss and penalty functions are allowed to be nonconvex. Our results show that as long as the loss function satisfies restricted strong convexity and the penalty function satisfies suitable re ...
Leto:
2014
Vir:
videolectures.net
Izvirni znanstveni članek
Oznake:
supergravity theories;supersymmetric strings;quantum gravity constraints;
We argue for the quantum-gravitational inconsistency of certain 6D N ¼ ð1; 0Þ supergravity theories, whose anomaly-free gauge algebra g and hypermultiplet spectrum M were observed by Raghuram et al. [J. High Energy Phys. 07 (2021) 048] to be realizable only as part of a larger gauge sector ðg0 ⊃ g; ...
Leto:
2022
Vir:
Digitalna knjižnica Univerze v Mariboru (DKUM)
Video in druga učna gradiva
Oznake:
Increasing the diversity of the STEM workforce has been an issue of national concern for decades. African American and Latino students, from working class families, are significantly underrepresented in science and technical fields, and this is especially the case for female students within computer ...
Leto:
2008
Vir:
videolectures.net