Št. zadetkov: 45
Video in druga učna gradiva
Oznake:
computer science;machine learning;clustering
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training. Motivated by such assumption, we proposed a classification algorithm, Support Cluster Machine (SCM), within the learning ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;network analysis;social networks;machine learning
Cross-domain collaborative filtering solves the sparsity problem by transferring rating knowledge across multiple domains. In this paper, we propose a rating-matrix generative model (RMGM) for effective cross-domain collaborative filtering. We first show that the relatedness across multiple rating matr ...
Leto:
2009
Vir:
videolectures.net
Izvirni znanstveni članek
Oznake:
branje;Pionirska knjižnica (Ljubljana);knjižnice;
Članek obvešča o rezultatih trimesečnega (marec-maj 1975) zbiranja podatkov, ki nam jih kažejo tri primerjave (tabele): 1. koliko je bilo obiskov iz lastnega nagiba in koliko drugih, 2. koliko knjig so si obiskovalci izposodili iz lastnega nagiba in koliko iz drugih nagibov, 3. kako so se gibali obi ...
Leto:
1976
Vir:
dLib.si Digitalna knjižnica Slovenije
Diplomsko delo
Oznake:
podjetje;poslovni plani;tržne raziskave;tržna analiza;trženje;produkcija;razvoj;management;kadri;tveganje;financiranje;
Poslovni načrt male hidroelektrarne
Leto:
2010
Vir:
Ekonomska fakulteta (UL EF)
Video in druga učna gradiva
Oznake:
computer science;artificial intelligence;machine learning;statistical learning
Information technology has enabled collection of massive amounts of data in science, engineering, social science, finance and beyond. Extracting useful information from massive and high-dimensional data is the focus of today's statistical research and practice. After broad success of statistical m ...
Leto:
2011
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;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;machine learning
Extracting useful information from high-dimensional data is the focus of today's statistical research and practice. After broad success of statistical machine learning on prediction through regularization, interpretability is gaining attention and sparsity has been used as its proxy. With the virtu ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;knowledge extraction
With the rapid growth of Web 2.0, a variety of content sharing services, such as Flickr, YouTube, Blogger, and TripAdvisor etc, have become extremely popular over the last decade. On these websites, users have created and shared with each other various kinds of resources, such as photos, video, and ...
Leto:
2014
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;knowledge extraction
Time-sync video tagging aims to automatically generate tags for each video shot. It can improve the user's experience in previewing a video's timeline structure compared to traditional schemes that tag an entire video clip. In this paper, we propose a new application which extracts time-sync video t ...
Leto:
2014
Vir:
videolectures.net