Št. zadetkov: 447
                    
                    
                
                    
                        
                        
                        
                            Izvirni znanstveni članek
                        
                            Oznake:
                            analysis of hydraulic support attitude;simulation analysis;axis pin connection clearance;hydraulic cylinder stiffness;
                        
                            The existing hydraulic support attitude monitoring and control methods integrate multiple sensing technologies, but it is difficult to apply and promote due to unclear monitoring mechanisms, complicated types, and a large number of sensors. Aiming at the problem of attitude monitoring and control of ...
                        
                            
                                Leto:
                                2024
                            
                            
                                Vir:
                                Fakulteta za strojništvo (UL FS)
                        
                     
                
                    
                        
                        
                        
                            Izvirni znanstveni članek
                        
                            Oznake:
                            kromosomi;poškodbe;prelomi;radiacija;simulacija;metode;
                        
                            
                        
                            
                                Leto:
                                2008
                            
                            
                                Vir:
                                dLib.si Digitalna knjižnica Slovenije
                        
                     
                
                    
                        
                        
                        
                            Video in druga učna gradiva
                        
                            Oznake:
                            computer science;computational linguistics
                        
                            This paper presents an interdisciplinary investigation of statistical information retrieval (IR) techniques for protein identification from tandem mass spectra, a challenging problem in proteomic data analysis. We formulate the task as an IR problem, by constructing a “query vector” whose elements a ...
                        
                            
                                Leto:
                                2009
                            
                            
                                Vir:
                                videolectures.net
                        
                     
                
                    
                        
                        
                        
                            Video in druga učna gradiva
                        
                            Oznake:
                            
                        
                            In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we present a boosting approach that integrates features with incomplete information and those with complete information to form  ...
                        
                            
                                Leto:
                                2008
                            
                            
                                Vir:
                                videolectures.net
                        
                     
                
                    
                        
                        
                        
                            Video in druga učna gradiva
                        
                            Oznake:
                            computer science;machine learning;on-line learning
                        
                            In this work, we extend the ellipsoid method, which was originally designed for convex optimization, for online learning. The key idea is to approximate by an ellipsoid the classification hypotheses that are consistent with all the training examples received so far. This is in contrast to most onlin ...
                        
                            
                                Leto:
                                2009
                            
                            
                                Vir:
                                videolectures.net
                        
                     
                
                    
                        
                        
                        
                            Video in druga učna gradiva
                        
                            Oznake:
                            computer science;pattern recognition
                        
                            Sensors provide computer systems with a window to the outside world. Activity recognition "sees" what is in the window to predict the locations, trajectories, actions, goals and plans of humans and objects. Building an activity recognition system requires a full range of interaction from statistical ...
                        
                            
                                Leto:
                                2009
                            
                            
                                Vir:
                                videolectures.net
                        
                     
                
                    
                        
                        
                        
                            Video in druga učna gradiva
                        
                            Oznake:
                            computer science;semantic web;rdf - resource description framework
                        
                            Data quality issues arise in the Semantic Web because data
is created by diverse people and/or automated tools. In particular, erroneous
triples may occur due to factual errors in the original data source,
the acquisition tools employed, misuse of ontologies, or errors in ontology
alignment. We prop ...
                        
                            
                                Leto:
                                2011
                            
                            
                                Vir:
                                videolectures.net
                        
                     
                
                    
                        
                        
                        
                            Video in druga učna gradiva
                        
                            Oznake:
                            computer science;machine learning;active learning
                        
                            Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical when a very large amount of data is needed for training multi-label text classifiers. To minimize the human-labeling effo ...
                        
                            
                                Leto:
                                2009
                            
                            
                                Vir:
                                videolectures.net
                        
                     
                
                    
                        
                        
                        
                            Video in druga učna gradiva
                        
                            Oznake:
                            computer science;information retrieval;databases;data mining;security & privacy
                        
                            Recent research in privacy-preserving data mining (PPDM) has become increasingly popular due to the wide application of data mining and the increased concern regarding the protection of private and personal information. Lately, numerous methods of privacy-preserving data mining have been proposed. M ...
                        
                            
                                Leto:
                                2010
                            
                            
                                Vir:
                                videolectures.net
                        
                     
                
                    
                        
                        
                        
                            Video in druga učna gradiva
                        
                            Oznake:
                            computer science;pattern recognition
                        
                            We study the problem of building the classification model for a target class in the absence of any labeled training example for that class. To address this difficult learning problem, we extend the idea of transfer learning by assuming that the following side information is available: (i) a collecti ...
                        
                            
                                Leto:
                                2010
                            
                            
                                Vir:
                                videolectures.net