Št. zadetkov: 64
Izvirni znanstveni članek
Oznake:
požarna ogroženost mest;obvladovanje požarnega tveganja;tehnologije velikih podatkov;upravljanje podatkov;socialno-ekonomski dejavniki;analiza na ravni celotnega mesta;urban fire risk;fire risk management;big data technologies;data governance;socio-economic factors;city-wide analysis;
The effects of data governance (as a means to maximize big data value creation in fire risk management) performance on fire risk was analyzed based on multi-source statistical data of 105 cities in China from 2016 to 2018. Specifically, data governance was first quantified with ten detailed indicato ...
Leto:
2022
Vir:
Zavod za gradbeništvo Slovenije (ZAG)
Kratki znanstveni prispevek
Oznake:
cattle;dairy cows;diseases;subclinical mastitis;molecular genetics;lactoferrin gene;PCR-RFLP;
CMT was used to detect the incidence of mastitis. One hundred twenty cows were selected and assigned into 2 groups, 60 animals in each group: control group (healthy cows), experimental group (cows with subclinical mastitis) and the relationship between cow's subclinical mastitis and polymerase chain ...
Leto:
2008
Vir:
Biotehniška fakulteta (UL BF)
Video in druga učna gradiva
Oznake:
architecture;computer science;computer vision;shape analysis
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;markov processes
We consider robustness of learning algorithms and prove that
under a very general setup, robustness of an algorithm implies that it generalizes,
and consequently, a robust algorithm that asymptotically minimizes
empirical risk is consistent. In particular, this relationship holds in
the case where b ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
Debt detection is important for improving payment accuracy in social security. Since debt detection from customer transactional data can be generally modelled as a fraud detection problem, a straightforward solution is to extract features from transaction sequences and build a sequence classifier fo ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;clustering
This paper presents a cutting plane algorithm for multiclass maximum margin clustering (MMC). The proposed algorithm constructs a nested sequence of successively tighter relaxations of the original MMC problem, and each optimization problem in this sequence could be efficiently solved using the cons ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;inductive logic programming
Relational learning is an area of growing interest in machine learning (Dzeroski & Lavrac, 2001; Friedman et al.,
1999; Raedt & Kersting, 2003). Xu et al. (2006) introduced the infinite hidden relational model (IHRM)
which views relational learning in context of the entity-relationship database mo ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
We study the copula correlation matrix $\Sigma$ for elliptical copulas. In this context, the correlations are connected to Kendall's tau through a sine function transformation. Hence, a natural estimate for $\Sigma$ is the plug-in estimator $\widehat\Sigma$ with Kendall's tau statistics. In this ta ...
Leto:
2013
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
In this paper, we establish some theoretical connections between Sum-Product Networks (SPNs) and Bayesian Networks (BNs). We prove that every SPN can be converted into a BN in linear time and space in terms of the network size. The key insight is to use Algebraic Decision Diagrams (ADDs) to compactl ...
Leto:
2015
Vir:
videolectures.net