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Explaining Credibility in News Articles using Cross ...

Explaining Credibility in News Articles using Cross ...

ence the credibility of online information, such as trustworthiness, plausibility or similarity to the reader’s beliefs. Cazalens et al. [4] investigated a number of fundamental issues in computational fac-tuality-estimation, including the lack of a proper theoretical founda- tion and the lack of transparency in most state-of-the-art solutions. At the same time, factuality-estimation is ...

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Package ‘matrixpls’

Package ‘matrixpls’

Title Matrix-Based Partial Least Squares Estimation Version 1.0.11 Date 2020-07-16 Maintainer Mikko Rönkkö <[email protected]> Description Partial Least Squares Path Modeling algorithm and related algorithms. The algorithm implementations aim for computational ef?ciency using matrix algebra and covariance data. The package is designed toward Monte Carlo simulations and includes functions .

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? ? ? ? Reduced-order Modeling of Intake Air Dynamics in ...

? ? ? ? Reduced-order Modeling of Intake Air Dynamics in ...

estimation methods [1,2,3,4] and the first-principle simulations [5,6]. They are key points to simplify the computational model of the intake air dynamics. This paper exploits structures inherent in typical motorcycle engines: small ratios of their intake manifold volumes to their swept volumes, large ratios of opening areas of their intake valves to their combustion chamber volumes, and so on ...

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A Framework for Probability Density Estimation

A Framework for Probability Density Estimation

John Shawe-Taylor Centre for Computational Statistics and Machine Learning, University College London, Gower Street, London WC1E 6BT [email protected] Alex Dolia Southampton Statistical Sciences Research Institute, University of Southampton, Southampton SO17 1BJ [email protected] Abstract The paper introduces a new framework for learning probability density functions. A the-oretical analysis ...

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Maximum Likelihood Estimation - Schatzlab

Maximum Likelihood Estimation - Schatzlab

Maximum Likelihood Estimation - MLE and its recent application computational biology - Hayan [email protected] Lab March 17, 2015 Schatz Lab Meeting 1. Stony Brook University Dept. of Computer Science Simons Center for Quantitative Biology Outline • Definition • Likelihood • Maximum Likelihood Estimation • Application • Univariate Gaussian Mean • Univariate Poisson Mean • C. Pop et al ...

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Efficient Gradient Computation for Structured Output ...

Efficient Gradient Computation for Structured Output ...

computer vision such as image segmentation, feature detection, object recognition, motion estimation, computational photography and many others. Several algorithms have been designed in the past for structured prediction tasks, including Con-ditional Random Fields (CRFs) (Lafferty et al.,2001;Gimpel and Smith,2010), StructSVMs

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Lossy Compression of Distributed Sparse Sources: a ...

Lossy Compression of Distributed Sparse Sources: a ...

reduce the computational complexity of the Orthogonal Matching Pursuit algorithm for the recovery of the sparse signal. Instead, the SI we use is a sparse signal correlated to the unknown source through a common component. Therefore it contains information about the position of nonzero components but also about the coe?cients and is used in the CS reconstruction step (estimation of the ...

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Frank Nielsen Editor Geometric Theory of Information

Frank Nielsen Editor Geometric Theory of Information

• A Riemannian Geometry in the q-Exponential Banach Manifold Induced by q-Divergences by Héctor R. Quiceno, Gabriel I. Loaiza and Juan C. Arango, • Computational Algebraic Methods in Ef?cient Estimation by Kei Kobayashi and Henry P. Wynn, • Eidetic Reduction of Information Geometry Through Legendre Duality of Koszul

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COMPUTATIONAL LIMITS IN STATISTICAL ESTIMATION: HIDDEN ...

COMPUTATIONAL LIMITS IN STATISTICAL ESTIMATION: HIDDEN ...

Salil (for his kindness and optimism), Anasuya (for caring), Yash (for listening), Manish (for his support) and Aditya (for his patience). I also thank Chinmoy, Rajiv, Soham, Mainak, Megha, Preyas vi. and Dinesh for all the fun adventures. Thanks to my aunt and uncle, Anjali and Abhay, and cousins, Arjun and Parth, for providing a warm and welcoming home away from home during my stay at ...

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Head, Brain Imaging Research Group Positions, Training ...

Head, Brain Imaging Research Group Positions, Training ...

2007– Member board of specialists ‘Computer, Systems & Signal Processing’, University of Paris (Orsay). 2007– Member COST Management Committee (European Science Foundation) Advanced Methods for The Estimation Of Hu-man Brain Activity And Connectivity (Neuromath) Positions, Training & Main Activities (continued) 2006– Member Editorial Boards: NeuroImage; Computational In-telligence ...

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Blind Adaptive Algorithms for Decision Feedback DS-CDMA ...

Blind Adaptive Algorithms for Decision Feedback DS-CDMA ...

adaptive signal processing methods are suitable to CDMA systems because they can track the highly dynamic conditions often encountered in such systems due to the mobility of mobile terminals and the random nature of the channel ac-cess. Adaptive techniques can also alleviate the computational complexity required for parameter estimation. In ...

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