Results 71 to 80 of about 18,144,236 (296)
Arquitetura em pipeline para o alogaritmo de Canny em uma plataforma VHDL/FPGA [PDF]
, 2014 Orientador : Prof. Dr. Eduardo TodtDissertação (mestrado) - Universidade Federal do Paraná, Setor de Ciências Exatas, Programa de Pós-Graduação em Informática.
Vidal, Leonardo de Amaral
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پژوهشهای ریاضی, 2018 Estimation of statistical distribution parameter is one of the important subject of statistical inference. Due to the applications of Lomax distribution in business, economy, statistical science, queue theory, internet traffic modeling and so on, in this
Roshanak Zaman, Parviz Nasiri
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The Expectation-Maximization (EM) algorithm is a broadly applicable approach to the iterative computation of maximum likelihood (ML) estimates, useful in a variety of incomplete-data problems.
Ng, See Ket +2 more
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Parametric estimation of discretely observed diffusions using the EM algorithm [PDF]
, 2007 In this paper we report ongoing work on parametric estimation for diffusions using Monte Carlo EM algorithms. The work presented here has already been extended to high dimensional problems and models with observation ...
Sermaidis, Giorgos +1 more
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FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery
Advanced Engineering Materials, EarlyView.We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin +16 more
wiley +1 more source
Automatic Derivation of Statistical Algorithms: The EM Family and Beyond
, 2003 Machine learning has reached a point where many probabilistic methods can be understood as variations, extensions and combinations of a much smaller set of abstract themes, e.g., as different instances of the EM algorithm.
Schumann, Johann +7 more
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پژوهشهای ریاضی, 2019 Introduction Selection the appropriate statistical model for the response variable is one of the most important problem in the finite mixture of generalized linear models.
Farzad Eskandari
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Gaussian Mixture Model Based Classification of Stuttering Dysfluencies
Journal of Intelligent Systems, 2016 The classification of dysfluencies is one of the important steps in objective measurement of stuttering disorder. In this work, the focus is on investigating the applicability of automatic speaker recognition (ASR) method for stuttering dysfluency ...
Mahesha P., Vinod D.S.
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Análise estatística do algoritmo £LMS no domínio transformado em ambientes estacionários e não-estacionários [PDF]
, 2006 Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.Este trabalho apresenta uma análise estatística do algoritmo LMS (least mean square) no domínio transformado (LMS DT) tanto ...
Lobato, Elen Macedo
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EM algorithm to solve an imaging problem in Muon scattering Tomography
, 2022 reservedNel campo della Tomografia Muonica per scattering, molti metodi sono reperibili in letteratura per ricavare informazioni riguardanti la composizione di volumi ignoti.
BORDIGNON, ANNA
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