Iskalni niz:
išči po
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išči po
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Vrsta gradiva:
Jezik:
Št. zadetkov: 199
Intervju
Oznake: religija;zgodovina;univerza;ZDA;
Zgodovina religij in ameriški sen
Leto: 1992 Vir: Fakulteta za družbene vede (UL FDV)
Ni določena
Oznake: literatura in psihologija;estetika;umetnost;slikarstvo;poezija;čustva;čustvena izkušnja;
Leto: 2003 Vir: Repozitorij Univerze v Ljubljani (RUL)
Ni določena
Oznake: avtentičnost;verodostojnost;kultura;pedagoška sociologija;
Leto: 2008 Vir: Repozitorij Univerze v Ljubljani (RUL)
Izvirni znanstveni članek
Oznake:
Bayesian statistical theory is a convenient way of taking a priori informationinto consideration when inference is made from images. In Bayesian image segmentation, the a priori distribution should capture the knowledge about objects. Taking inspiration from (Alvarez et ad., 1999), we design a prior ...
Leto: 2001 Vir: dLib.si Digitalna knjižnica Slovenije
Video in druga učna gradiva
Oznake: business;management;leadership
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: business;management;knowledge management
Log-linear models are a far-reaching extension of logistic regression, while con- ditional random fields (CRFs) are a special case of log-linear models suitable for so-called structured learning tasks. Structured learning means learning to predict outputs that have internal structure. For example, r ...
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: social sciences;law;copyrights;education
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: business;concurrent enterprising
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake:
Increasingly large collections of structured data necessitate the development of efficient, noise-tolerant retrieval tools. In this work, we consider this issue and describe an approach to learn a similarity function that is not only accurate, but that also increases the effectiveness of retrieval d ...
Leto: 2007 Vir: videolectures.net
Video in druga učna gradiva
Oznake:
This paper introduces a novel machine learning model called multiple instance ranking (MIRank) that enables ranking to be performed in a multiple instance learning setting. The motivation for MIRank stems from the hydrogen abstraction problem in computational chemistry, that of predicting the groupi ...
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 199
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