Results 31 to 40 of about 36,386 (165)
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
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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
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polyRAD: Genotype Calling with Uncertainty from Sequencing Data in Polyploids and Diploids
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
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Iterated expectations, compact spaces, and common priors [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Using LLMs for Augmenting Hierarchical Agents with Common Sense Priors
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
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Explicit-memory multiresolution adaptive framework for speech and music separation
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
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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
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Source reconstruction accuracy of MEG and EEG Bayesian inversion approaches.
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
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Spherical harmonic covariance and magnitude function encodings for beamformer design
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
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BFpack: Flexible Bayes Factor Testing of Scientific Theories in R
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
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