Št. zadetkov: 21
Ni določena
Oznake:
Leto:
2002
Vir:
Repozitorij Univerze v Ljubljani (RUL)
A. Acharyya,
R. Adam,
C. Adams,
I. Agudo,
A. Aguirre-Santaella,
Christopher Eckner,
Samo Stanič,
Serguei Vorobiov,
Gabrijela Zaharijas,
Marko Zavrtanik,
Danilo Zavrtanik,
Miha Živec
Izvirni znanstveni članek
Oznake:
dark matter;gamma ray;astrophysics;
Sensitivity of the Cherenkov Telescope Array to a dark matter signal from the Galactic centre
Leto:
2021
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Ni določena
Oznake:
onesnaževalci;onesnaževanje zraka;ozračje;ozon;varstvo okolja;ekologija;Evropa;Zrak;NUK;Onesnaževanje;Evropska unija;1990-2004;
Air pollution in Europe 1990-2004
Leto:
2007
Vir:
Fakulteta za kmetijstvo in biosistemske vede (UM FKBV)
Video in druga učna gradiva
Oznake:
computer science;machine learning;bayesian learning
We present the Gaussian Process Density Sampler (GPDS), an exchangeable generative
model for use in nonparametric Bayesian density estimation. Samples drawn from the GPDS
are consistent with exact, independent samples from a fixed density function that is a transformation
of a function drawn from ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;semi-supervised learning;bayesian learning
Semi-supervised learning (SSL), is classification
where additional unlabeled data can be
used to improve accuracy. Generative approaches
are appealing in this situation, as
a model of the data’s probability density can
assist in identifying clusters. Nonparametric
Bayesian methods, while ideal in th ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;bayesian learning
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian process is a useful way to place a prior distribution on this intensity. The combination of an Poisson process and GP is known ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;clustering
Many data are naturally modeled by an unobserved hierarchical structure. In this paper we propose a flexible nonparametric prior over unknown data hierarchies. The approach uses nested stick-breaking processes to allow for trees of unbounded width and depth, where data can live at any node and are i ...
Leto:
2010
Vir:
videolectures.net
Ni določena
Oznake:
elektronske knjige;
Nekega četrtka v času kosila je Zemlja uničena zaradi gradnje hiperprostorske obvoznice. Arthurju Dentu, ki se je moral že navsezgodaj soočiti z rušenjem svoje hiše, ni nobeno od teh dejstev prav nič po godu. Nekaj sekund pred uničenjem Zemlje ga reši njegov prijatelj Ford Prefect, Nezemljan pod kri ...
Leto:
2014
Vir:
Digitalna knjižnica Univerze v Mariboru (DKUM)
Ni določena
Oznake:
elektronske knjige;
Prav lahko je ostati brez poguma, če tvoj domači planet uničijo ob izgradnji hiperprostorske obvoznice, če dekle, ki ga ljubiš, izgine v nerazumljivem nesporazumu o naravi prostor-časa, če vesoljska ladja, na kateri potuješ, strmoglavi in zgori na oddaljenem planetu in če je vse, na kar se lahko zan ...
Leto:
2015
Vir:
Digitalna knjižnica Univerze v Mariboru (DKUM)
Izvirni znanstveni članek
Oznake:
računsko modeliranje;elektroencefalografija EEG;funkcijsko magnetnoresonančno slikanje fMRI;negativnost neujemanja;psihoza;mirovno stanje;shizofrenija;computational modeling;electroencephalography EEG;functional magnetic resonance imaging fMRI;mismatch negativity;psychosis;resting state;schizophrenia;
Background: Diminished synaptic gain — the sensitivity of postsynaptic responses to neural inputs — may be a fundamental synaptic pathology in schizophrenia. Evidence for this is indirect, however. Furthermore, it is unclear whether pyramidal cells or interneurons (or both) are affected, or how thes ...
Leto:
2022
Vir:
Filozofska fakulteta (UL FF)