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Št. zadetkov: 18
Izvirni znanstveni članek
Oznake: supernova;cosmology;extinction;
Near-infrared supernova Ia distances
Leto: 2021 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake: Desai, Amit: The ways of friendship;prijateljstvo;etnologija;ocene in poročila;socialna antropologija;
Leto: 2011 Vir: dLib.si Digitalna knjižnica Slovenije
Video in druga učna gradiva
Oznake: computer science;machine learning
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstrate some limitations of the original HDP-HMM formulation, and propose a sticky extension which allows more robust learning ...
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;markov processes;speech analysis;bayesian learning
Vector autoregressive (VAR) processes are useful in describing dynamical phenomena as diverse as speech, financial time-series, and the dancing of honey bees. However, such phenomena often exhibit structural changes over time and the VAR which describe them must also change. For example, the vo ...
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;interviews
Leto: 2006 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;semantic web
Leto: 2006 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;markov processes;algorithmic information theory
We propose a Bayesian nonparametric approach to relating multiple time series via a set of latent, dynamical behaviors. Using a beta process prior, we allow data-driven selection of the size of this set, as well as the pattern with which behaviors are shared among time series. Via the Indian buffet ...
Leto: 2009 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning
Bayes filters recursively estimate the state of dynamical systems from streams of sensor data. Key components of each Bayes filter are probabilistic prediction and observation models. In robotics, these models are typically based on parametric descriptions of the physical process generating the data ...
Leto: 2009 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;gaussian processes
Leto: 2009 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;artificial intelligence;semantic web
Leto: 2013 Vir: videolectures.net
Št. zadetkov: 18
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