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在“Elsevier电子期刊”中，命中：1,180条，耗时：0.0339883 秒

在所有数据库中总计命中：10,760条

1.Long-term forecasting of time series based on linear fuzzy information granules and fuzzy inference system

作者：Xiyang Yang^a ; Fusheng Yu^b ; ^{yufusheng@bnu.edu.cn} ; Witold Pedrycz^c

关键词：Linear fuzzy information granule ; Gaussian fuzzy number ; Fuzzy inference system ; Long-term forecasting ; Time series

刊名：International Journal of Approximate Reasoning

出版年：2017

2.Conditional maximum likelihood estimation for a class of observation-driven time series models for count data

作者：Yunwei Cui^a ; ^{ycui@towson.edu} ; Qi Zheng^b ; ^{qi.zheng@louisville.edu}

关键词：Observation-driven models ; One-parameter exponential family ; INGARCH(p ; qp ; q) models ; Time series of counts

刊名：Statistics & Probability Letters

出版年：2017

3.A new data-driven model for post-transplant antibody dynamics in high risk kidney transplantation

作者：Yan Zhang^a ; David Briggs^b ; David Lowe^b ; ^c ; ^d ; Daniel Mitchell^d ; Sunil Daga^d ; ^e ; Nithya Krishnan^e ; Robert Higgins^e ; Natasha Khovanova ; ^a ; ^{n.khovanova@warwick.ac.uk}

关键词：Kidney transplantation ; Antibody dynamics ; Ordinary differential equations ; Data driven model ; Eigenvalue ; Variational Bayesian inference

刊名：Mathematical Biosciences

出版年：2017

4.Sparse vector Markov switching autoregressive models. Application to multivariate time series of temperature

作者：Valé ; rie Monbet^a ; ^{valerie.monbet@univ-rennes1.fr} ; Pierre Ailliot^b ; ^{pierre.ailliot@univ-brest.fr}

关键词：Markov switching vector autoregressive process ; Sparsity ; Penalized likelihood ; SCAD ; EM algorithm ; Daily temperature ; Stochastic weather generators

刊名：Computational Statistics & Data Analysis

出版年：2017

5.Neural Circuit Inference from Function to Structure

作者：Esteban Real¹ ; ³ ; Hiroki Asari¹ ; ⁴ ; ^{asari@embl.it} ; Tim Gollisch² ; Markus Meister¹ ; ⁵ ; ⁶ ; ^{meister@caltech.edu}

关键词：vision ; retina ; ganglion cells ; bipolar cells ; brain circuit ; neurophysiology ; neural code ; computational neuroscience ; machine learning ; circuit model

刊名：Current Biology

出版年：2017

6.Damage prediction for wind turbines using wireless sensor and actuator networks

作者：Maicon Melo Alves^b ; ^cAuthor Vitae ; Luci Pirmez^aAuthor Vitae ; Silvana Rossetto^aAuthor Vitae ; Flavia C. Delicato^a ; ^c ; ^{fdelicato@gmail.com}Author Vitae ; Claudio M. de Farias^aAuthor Vitae ; Paulo F. Pires^a ; ^cAuthor Vitae ; Igor L. dos Santos^aAuthor Vitae ; Albert Y. Zomaya^cAuthor Vitae

关键词：Wireless sensor and actuator networks ; Structural health monitoring ; Damage prediction ; ARIMA model ; Adaptive Neuro Fuzzy Inference System (ANFIS)

刊名：Journal of Network and Computer Applications

出版年：2017

7.Sequential monitoring of the tail behavior of dependent data

作者：Yannick Hoga^a ; ^{yannick.hoga@vwl.uni-due.de} ; Dominik Wied^b ; ^c ; ^{dwied@uni-koeln.de}

关键词：C12 ; C14 ; C22

刊名：Journal of Statistical Planning and Inference

出版年：2017

8.Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements

作者：Loï ; c Le Folgoc ; ^a ; ^b ; ^{loic.le_folgoc@inria.fr} ; Hervé ; Delingette^a ; Antonio Criminisi^c ; Nicholas Ayache^a

关键词：Non-rigid registration ; Bayesian modelling ; Sparse structured prior ; Variational Bayes ; ARD ; Cardiac Imaging

刊名：Medical Image Analysis

出版年：2017

9.Parameter inference of general nonlinear dynamical models of gene regulatory networks from small and noisy time series

作者：Arturo Berrones^a ; ^{arturo.berronessn@uanl.edu.mx" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Edgar Jimé ; nez^bAuthor Vitae ; Marí ; a Aracelia Alcorta-Garcí ; a^bAuthor Vitae ; F-Javier Almaguer^bAuthor Vitae ; Brenda Peñ ; a^a

关键词：CTRNN ; Genetic regulatory networks ; Genetic expression time series ; Bayesian inference

刊名：Neurocomputing

出版年：2016

10.Path-space variational inference for non-equilibrium coarse-grained systems

作者：Vagelis Harmandaris^c ; ^d ; ^{harman@uoc.gr" class="auth_mail" title="E-mail the corresponding author} ; Evangelia Kalligiannaki^c ; ^{ekalligian@tem.uoc.gr" class="auth_mail" title="E-mail the corresponding author} ; Markos Katsoulakis^b ; ^{markos@math.umass.edu" class="auth_mail" title="E-mail the corresponding author} ; Petr Plechá ; č^a ; ^{plechac@math.udel.edu" class="auth_mail" title="E-mail the corresponding author}

关键词：Coarse graining ; Non-equilibrium ; Information metrics ; Machine learning ; Variational inference ; Stochastic optimization ; Time series ; Langevin dynamics

刊名：Journal of Computational Physics

出版年：2016

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