Random matrix analysis of deep neural network weight matrices
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.106.054124
Abstract: Neural networks have been used successfully in a variety of fields, which has led to a great deal of interest in developing a theoretical understanding of how they store the information needed to perform a… read more here.
Keywords: rmt; random matrix; deep neural; weight matrices ... See more keywords
State Estimation for Periodic Neural Networks With Uncertain Weight Matrices and Markovian Jump Channel States
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2017.2708700
Abstract: This paper studies the state estimator design for periodic neural networks, where stochastic weight matrices $ {B(k)}$ and packet dropouts are considered. The stochastic variables, which may influence each other, are introduced to describe uncertainties… read more here.
Keywords: weight matrices; state; neural networks; periodic neural ... See more keywords
Positional weight matrices have sufficient prediction power for analysis of noncoding variants
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DOI: 10.12688/f1000research.75471.3
Abstract: The position weight matrix, also called the position-specific scoring matrix, is the commonly accepted model to quantify the specificity of transcription factor binding to DNA. Position weight matrices are used in thousands of projects and… read more here.
Keywords: position weight; weight matrices; power; prediction ... See more keywords