Št. zadetkov: 75
Izvirni znanstveni članek
Oznake:
artificial bee colony;chaos-decision variable;harmonic distortion;harmonic estimation;harmonic suppression;
This paper presents a new hybrid algorithm based on artificial bee colony (ABC) and chaotic search strategy (CSS), known as ABC-CSS to solve the harmonic estimation problems in the case of time varying acceleration response signal. The ABC algorithm simulates the intelligent behavior of bees in natu ...
Leto:
2024
Vir:
Fakulteta za strojništvo (UL FS)
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