Results 81 to 90 of about 9,957 (160)

Collaborative Filtering Based on Gaussian Mixture Model and Improved Jaccard Similarity

open access: yesIEEE Access, 2019
The recommender systems play an important role in our lives, since it can quickly help users find what they are interested in. Collaborative filtering has become one of the most widely used algorithms in recommender systems due to its simplicity and ...
Hangyu Yan, Yan Tang
doaj   +1 more source

Renyi Dimension and Gaussian Filtering

open access: yes, 2006
Consider the partition function S(ε) associated in theory of Renyi dimension to a finite Borel measure μon Euclidean d-space. This partion function S(ε) is the sum of the q-th powers of the measure applied to a partition of d-space into d-cubes of width ε.
openaire   +3 more sources

Modelling stochastic volatility with leverage and jumps: a simulated maximum likelihood approach via particle filtering [PDF]

open access: yes, 2009
In this paper we provide a unified methodology in order to conduct likelihood-based inference on the unknown parameters of a general class of discrete-time stochastic volatility models, characterized by both a leverage effect and jumps in returns.
Sheheryar Malik   +3 more
core  

Particle Gaussian Mixture (PGM) Filters

open access: yesCoRR, 2016
Recursive estimation of nonlinear dynamical systems is an important problem that arises in several engineering applications. Consistent and accurate propagation of uncertainties is important to ensuring good estimation performance. It is well known that the posterior state estimates in nonlinear problems may assume non-Gaussian multimodal densities. In
D. Raihan, Suman Chakravorty
openaire   +3 more sources

Adaptive filtering for non-Gaussian processes [PDF]

open access: yes2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002
A new stochastic gradient robust filtering method, based on a non-linear amplitude transformation, is proposed. The method requires no a priori knowledge of the characteristics of the input signals and it is insensitive to the signals distribution and to the stationarity of the signals. A simulation study, applying both synthetic and real-world signals,
openaire   +2 more sources

COSMOS-7: Video-oriented MPEG-7 scheme for modelling and filtering of semantic content

open access: yes, 2005
MPEG-7 prescribes a format for semantic content models for multimedia to ensure interoperability across a multitude of platforms and application domains.
Agius, HW, Angelides, MC
core   +1 more source

A Gaussian‐mixture ensemble transform filter [PDF]

open access: yesQuarterly Journal of the Royal Meteorological Society, 2011
AbstractWe generalize the popular ensemble Kalman filter to an ensemble transform filter, in which the prior distribution can take the form of a Gaussian mixture or a Gaussian kernel density estimator. The design of the filter is based on a continuous formulation of the Bayesian filter analysis step.
openaire   +2 more sources

Comportamento estocástico do algoritmo kernel least-mean-square [PDF]

open access: yes, 2012
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.Algoritmos baseados em kernel têm-se tornado populares no processamento não-linear de sinais.
Parreira, Wemerson Delcio
core  

Efficient Likelihood Evaluation of State-Space Representations [PDF]

open access: yes
We develop a numerical procedure that facilitates efficient likelihood evaluation in applications involving non-linear and non-Gaussian state-space models.
David N. DeJong   +4 more
core  

Modelagem estatística de algoritmos adaptativos em sub-bandas [PDF]

open access: yes, 2006
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.Neste trabalho, são apresentados modelos estatísticos que descrevem o comportamento de dois algoritmos adaptativos com ...
Kolodziej, Javier Ernesto
core  

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