Results 81 to 90 of about 2,364,994 (254)

Underwater Acoustic Sensor Networks Deployment Using Improved Self-Organize Map Algorithm

open access: yesCybernetics and Information Technologies, 2014
The traditional Self-Organize Map (SOM) method is used for the arrangement of seabed nodes in this paper. If the distance between the nodes and the events is long, these nodes cannot be victory nodes and they will be abandoned, because they cannot move ...
Hua Cheng Bing, Wei Zhao, Zi Nan Chang
doaj   +1 more source

Estimating Variance of parameters by Supplemented Expectation Maximization Algorithm and Gibbs Sampling in Regime-Switching Model with Jump Risks

open access: yes, 2012
[[abstract]]Hamilton (1989) proposed Markov switching model, which is based on Markov chain to describe the situation of state switching in different economy circumstances.
徐于琇, Shiu, Yu-Shiou
core  

Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing

open access: yesAdvanced Materials, EarlyView.
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris   +7 more
wiley   +1 more source

Halton Sampling for Image Registration Based on Mutual Information

open access: yes, 2008
Mutual information is a widely used similarity measure for aligning multimodal medical images. At its core, it relies on the computation of a discrete joint histogram, which itself requires image samples for its estimation.
Michel Bierlaire   +5 more
core   +1 more source

Prior elicitation in Bayesian quantile regression for longitudinal data [PDF]

open access: yes, 2011
© 2011 Alhamzawi R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original auhor and source are ...
Alhamzawi, Rahim   +7 more
core   +1 more source

Iterative Selection of DNA Nanostructures for Cellular Uptake

open access: yesAdvanced Materials, EarlyView.
DNA nanostructures are promising cell targeting delivery vehicles for therapeutics, but the targeting behavior is not fully understood. In this study, libraries of DNA nanostructures that can be amplified and sequenced are combined with cellular uptake as a selection pressure to iteratively refine DNA structures taken up in cells to better understand ...
Anjali Rajwar   +4 more
wiley   +1 more source

Herded Gibbs and discretized herded Gibbs sampling

open access: yes, 2013
Statistical inference is at the heart of the probabilistic programming approach to artificial intelligence; as far as statistical inference is concerned, the Gibbs sampler is one of the most widely applicable and popular random sampling techniques.
Eskelinen, Mareija
core   +1 more source

Comparison of Maximum Likelihood Estimation and Bayesian with Generalized Gibbs Sampling for Ordinal Regression Analysis of Ovarian Hyperstimulation Syndrome

open access: yesمجله اپیدمیولوژی ایران, 2019
Background and Objectives: Analysis of ordinal data outcomes could lead to bias estimates and large variance in sparse one. The objective of this study is to compare parameter estimates of an ordinal regression model under maximum likelihood and Bayesian
M Chehrazi   +4 more
doaj  

Elasticity‐Driven Periodic Polarization Patterns in a Chiral Ferroelectric Nematic Fluid

open access: yesAdvanced Materials, EarlyView.
Chiral polar ferroelectric nematic fluids exhibit spontaneous formation of stripe, square, and hexagonal polarization textures under confinement. Controlled by thickness and anchoring, these patterns produce spatially modulated nonlinear optical responses.
Anej Sterle   +11 more
wiley   +1 more source

GibbsST: a Gibbs sampling method for motif discovery with enhanced resistance to local optima

open access: yesBMC Bioinformatics, 2006
Background Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sampling based technique for TFBS discovery is attempted through an approach ...
Shida Kazuhito
doaj   +1 more source

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