Results 31 to 40 of about 36,386 (165)

Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion

open access: yesEntropy, 2023
Compressive sensing is a sub-Nyquist sampling technique for efficient signal acquisition and reconstruction of sparse or compressible signals. In order to account for the sparsity of the underlying signal of interest, it is common to use sparsifying ...
Mohammad Shekaramiz, Todd K. Moon
doaj   +1 more source

Multicomponent Stress-Strength Reliability estimation based on Unit Generalized Exponential Distribution

open access: yesAin Shams Engineering Journal, 2022
Estimation of stress-strength reliability is considered based on frequentist and Bayesian methods of estimation when both stress and strength variables follow unit generalized exponential distributions.
Mayank Kumar Jha   +4 more
doaj   +1 more source

polyRAD: Genotype Calling with Uncertainty from Sequencing Data in Polyploids and Diploids

open access: yesG3: Genes, Genomes, Genetics, 2019
Low or uneven read depth is a common limitation of genotyping-by-sequencing (GBS) and restriction site-associated DNA sequencing (RAD-seq), resulting in high missing data rates, heterozygotes miscalled as homozygotes, and uncertainty of allele copy ...
Lindsay V. Clark   +2 more
doaj   +1 more source

Iterated expectations, compact spaces, and common priors [PDF]

open access: yesGames and Economic Behavior, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Using LLMs for Augmenting Hierarchical Agents with Common Sense Priors

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference
Solving long-horizon, temporally-extended tasks using Reinforcement Learning (RL) is challenging, compounded by the common practice of learning without prior knowledge (or tabula rasa learning).
Bharat Prakash   +2 more
doaj   +1 more source

Explicit-memory multiresolution adaptive framework for speech and music separation

open access: yesEURASIP Journal on Audio, Speech, and Music Processing, 2023
The human auditory system employs a number of principles to facilitate the selection of perceptually separated streams from a complex sound mixture. The brain leverages multi-scale redundant representations of the input and uses memory (or priors) to ...
Ashwin Bellur   +2 more
doaj   +1 more source

On Estimation of P(Y < X) for Generalized Inverted Exponential Distribution Based on Hybrid Censored Data

open access: yesStatistica, 2021
Based on the hybrid censored samples, this article deals with the problem of point and interval estimation of the stress-strength reliability R = P(Y < X) when X and Y both have independent generalized inverted exponential distributions with different ...
Renu Garg, Kapil Kumar
doaj   +1 more source

Source reconstruction accuracy of MEG and EEG Bayesian inversion approaches.

open access: yesPLoS ONE, 2012
Electro- and magnetoencephalography allow for non-invasive investigation of human brain activation and corresponding networks with high temporal resolution. Still, no correct network detection is possible without reliable source localization.
Paolo Belardinelli   +4 more
doaj   +1 more source

Spherical harmonic covariance and magnitude function encodings for beamformer design

open access: yesEURASIP Journal on Audio, Speech, and Music Processing, 2021
Microphone and speaker array designs have increasingly diverged from simple topologies due to diversity of physical host geometries and use cases. Effective beamformer design must now account for variation in the array’s acoustic radiation pattern ...
Yuancheng Luo
doaj   +1 more source

BFpack: Flexible Bayes Factor Testing of Scientific Theories in R

open access: yesJournal of Statistical Software, 2021
There have been considerable methodological developments of Bayes factors for hypothesis testing in the social and behavioral sciences, and related fields.
Joris Mulder   +13 more
doaj   +1 more source

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