Results 81 to 90 of about 9,957 (160)
Collaborative Filtering Based on Gaussian Mixture Model and Improved Jaccard Similarity
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
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Renyi Dimension and Gaussian Filtering
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.
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Modelling stochastic volatility with leverage and jumps: a simulated maximum likelihood approach via particle filtering [PDF]
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
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Particle Gaussian Mixture (PGM) Filters
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
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Adaptive filtering for non-Gaussian processes [PDF]
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,
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COSMOS-7: Video-oriented MPEG-7 scheme for modelling and filtering of semantic content
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
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A Gaussian‐mixture ensemble transform filter [PDF]
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.
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Comportamento estocástico do algoritmo kernel least-mean-square [PDF]
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
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Efficient Likelihood Evaluation of State-Space Representations [PDF]
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
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Modelagem estatística de algoritmos adaptativos em sub-bandas [PDF]
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
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