Št. zadetkov: 75
                    
                    
                
                    
                        
                        
                        
                            Izvirni znanstveni članek
                        
                            Oznake:
                            machining accuracy active control;machining error prediction;complex sinusoidal mesh surface;single-point diamond turning;
                        
                            Single-point diamond turning (SPDT) assisted with slow tool servo (STS) is the most commonly utilized technique in the fabrication of optical modules. However, the tool path significantly affects the quality of the machined surface. In order to realize the determined machining accuracy effectively,  ...
                        
                            
                                Leto:
                                2021
                            
                            
                                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