Results 61 to 70 of about 133,520 (150)

Dependent Dirichlet Process Rating Model (DDP-RM) [PDF]

, 2013
Typical IRT rating-scale models assume that the rating category threshold parameters are the same over examinees. However, it can be argued that many rating data sets violate this assumption. To address this practical psychometric problem, we introduce a
Fujimoto, Ken Akira, Karabatsos, George
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Additional material on bounds of $\ell^2$-spectral gap for discrete Markov chains with band transition matrices

, 2015
We analyse the $\ell^2(\pi)$-convergence rate of irreducible and aperiodic Markov chains with $N$-band transition probability matrix $P$ and with invariant distribution $\pi$.
Hervé, Loïc, Ledoux, James
core   +1 more source

Effects of Osmotic Dehydration on Mass Transfer of Tender Coconut Kernel

Foods
Tender coconut water has been very popular as a natural beverage rich in various electrolytes, amino acids, and vitamins, and hence a large amount of tender coconut kernel is left without efficient utilization.
Sihao Wu, Juntao Wang, Lin Zhang, Sixin Liu, Congfa Li   +4 more
doaj   +1 more source

Kernel methods for in silico chemogenomics

, 2007
Predicting interactions between small molecules and proteins is a crucial ingredient of the drug discovery process. In particular, accurate predictive models are increasingly used to preselect potential lead compounds from large molecule databases, or to
Jacob, Laurent, Vert, Jean-Philippe
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A New Application of the Reproducing Kernel Hilbert Space Method to Solve MHD Jeffery-Hamel Flows Problem in Nonparallel Walls

Abstract and Applied Analysis, 2013
The present paper emphasizes Jeffery-Hamel flow: fluid flow between two rigid plane walls, where the angle between them is 2α. A new method called the reproducing kernel Hilbert space method (RKHSM) is briefly introduced.
Mustafa Inc, Ali Akgül, Adem Kılıçman   +2 more
doaj   +1 more source

Prediction Method of Equipment Degradation State Based on Improved RVM

MATEC Web of Conferences, 2018
In order to improve the prediction accuracy of the relevance vector machine model, an improved method for equipment condition prediction is proposed. First of all, an improved kernel function of variance Gauss kernel (VGKF) is constructed to improve the ...
Cheng Lu, RuiQi Wang, TingXue Xu, YuQi Chen   +3 more
doaj   +1 more source

Aximo: automated axiomatic reasoning for information update

, 2007
Aximo is a software written in C++ that verifies epistemic properties of dynamic scenarios in multi-agent systems. The underlying logic of our tool is based on the algebraic axiomatics of Dynamic Epistemic Logic. We also present a new theoretical result:
Richards, Simon, Sadrzadeh, Mehrnoosh
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Modeling Foreground Spatial Variations in 21 cm Gaussian Process Component Separation

The Astrophysical Journal
The 21 cm line from neutral hydrogen captures rich cosmological information. However, the 21 cm signals are highly contaminated by foreground emission, making accurate component separation vital for cosmological analyses.
Kangning Diao, Richard D. P. Grumitt, Yi Mao   +2 more
doaj   +1 more source

Fox H-kernel and $\theta$-deformation of the Cauchy two-matrix model and Bures ensemble

, 2018
Comment: 24 ...
Forrester, Peter J, Li, Shi-Hao
openaire   +1 more source

Preconditioning Kernel Matrices

, 2016
The computational and storage complexity of kernel machines presents the primary barrier to their scaling to large, modern, datasets. A common way to tackle the scalability issue is to use the conjugate gradient algorithm, which relieves the constraints ...
Cunningham, John P., Cutajar, Kurt, Filippone, Maurizio, Osborne, Michael A.   +3 more
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