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Št. zadetkov: 17
Objavljeni znanstveni prispevek na konferenci
Oznake: magneti;trajni magneti;zlitine;rotacijsko stiskanje;
Leto: 1993 Vir: dLib.si Digitalna knjižnica Slovenije
Objavljeni znanstveni prispevek na konferenci
Oznake: magneti;nitriranje;zlitine
Nitriranje zlitine Smspodaj2Fespodaj17 modificirane s Ta
Leto: 1996 Vir: dLib.si Digitalna knjižnica Slovenije
Objavljeni znanstveni prispevek na konferenci
Oznake: magnetne lastnosti;metalurgija;mikrostruktura;zlitine
Leto: 1994 Vir: dLib.si Digitalna knjižnica Slovenije
Video in druga učna gradiva
Oznake: computer science;semantic web;rdf - resource description framework;machine learning;bayesian learning
The increasing availability of large RDF datasets offers an exciting opportunity to use such data to build predictive models using machine learning algorithms. However, the massive size and distributed nature of RDF data calls for approaches to learning from RDF data in a setting where the data ...
Leto: 2011 Vir: videolectures.net
Video in druga učna gradiva
Oznake: social sciences;education;technology
Leto: 2017 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;social media
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: arts;music
MIT Professor of Music Ellen Harris discusses Handel's chamber cantatas written from 1706-23, from a social point of view, exposing the exclusive and secret homosexual society in which they were created. The compositions were written when Handel lived in the homes of aristocratic patrons, first in I ...
Leto: 2002 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;artificial intelligence
This video showcases a technology called Virtual Role Players (VRP) for implementing conversational virtual humans that engage in spoken dialog, and exhibit culturally appropriate behavior. It is designed for use as a plug-in to training simulation systems. The version displayed is integrated with t ...
Leto: 2009 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning
Clinical proteomics is suffering from high hopes generated by reports on apparent biomarkers, most of which could not be later substantiated via validation. This has brought into focus the need for improved methods of finding a panel of clearly defined biomarkers. To examine this problem, urinary pr ...
Leto: 2009 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning;bioinformatics;computational systems biology
much smaller number of samples. Analysing such data is statistically challenging, as the covariates are highly correlated, which results in unstable parameter estimates and inaccurate prediction. To alleviate this problem, we have developed a statistical model which uses a small number of meta-covar ...
Leto: 2010 Vir: videolectures.net
Št. zadetkov: 17
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