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Results

12 353 results (0,301s)

Result

Extending the Fully Bayesian Unfolding with Regularization Using a Combined Sampling Method

Regularization extensions to the Fully Bayesian Unfolding are implemented of the usage of the regularization feature in Fully Bayesian Unfolding (FBU). time, an optimal value of the regularization strength...

Optics (including laser optics and quantum optics)

  • 2020
  • Jimp
  • Link
Result

On the Bayesian Interpretation of Penalized Statistical Estimators

by Bayesian reasoning are explained here to correspond to the intuition. First, the paper considers Bayesian estimates of the mean and covariance matrix for the multivariate normal distribution. Second, a connection of a robust

Statistics and probability

  • 2023
  • D
  • Link
Result

Bayesian estimates: tool for processing prior information

This paper considers some fundamental statistical models and investigates whether Bayesian estimates of their parameters correspond to intuition obtained under the same conditions. Particularly, the paper considers Bayesian, or ...

Statistics and probability

  • 2021
  • Jost
  • Link
Result

Information classification methods

), using Bayesian filters, hashes, regular expressions etc. This paper will discuss...

KA - Vojenství

  • 2011
  • D
  • Link
Result

A comparison of deterministic and Bayesian inverse with application in micromechanics

. The connection between Bayesian inversion and Tikhonov regularization and advantages of each problem quantities over parts of the boundary and Tikhonov regularization. To include uncertainties in observed values, Baye...

Applied mathematics

  • 2018
  • Jimp
  • Link
Result

Regularized extended estimation with stabilized exponential forgetting

This technical note concerns the problem of variable regularized estimation of time-varying nonlinear systems from the Bayesian viewpoint. The questions of how to impose the posterior information being variably regularized ...

Automation and control systems

  • 2017
  • Jimp
  • Link
Result

Spam detection using data compression and signatures

on a combination of Bayesian filtering, signature trees, and data compression-based similarity. Bayesian filtering is one of the most popular and most efficient algorithms for dealingwith spam detection. The problem with Bayesi...

IN - Informatika

  • 2013
  • Jx
  • Link
Result

A comparison of sparse Bayesian regularization methods on computed tomography reconstruction

of the regularization term. We address this problem using Bayesian approach which treats tuningDesign of regularization term is an important part of solution of an ill-posed a regularization model known as Automat...

Electrical and electronic engineering

  • 2018
  • D
  • Link
Result

An Adaptive Correlated Image Prior for Image Restoration Problems

Image restoration is typically defined as an ill-posed problem which has to be regularized to obtain an acceptable solution. In Bayesian interpretation, regularization is equivalent to prior model of the image. An added val...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • Jimp
  • Link
Result

Bayesian non-negative matrix factorization with adaptive sparsity and smoothness prior

Non-negative matrix factorization (NMF) is generally an ill-posed problem which requires further regularization. Regularization of NMF using the assumption of sparsity is common as well as regularization using smoothness. I...

Automation and control systems

  • 2019
  • Jimp
  • Link
  • 1 - 10 out of 12 353