Search Results - "Frontiers in applied mathematics and statistics"

Randomized Distributed Mean Estimation: Accuracy vs. Communication by Konečný, Jakub, Richtárik, Peter

“…We consider the problem of estimating the arithmetic average of a finite collection of real vectors stored in a distributed fashion across several compute…”
Get full text

Deep Learning Methods for Mean Field Control Problems With Delay by Fouque, Jean-Pierre, Zhang, Zhaoyu

“…We consider a general class of mean field control problems described by stochastic delayed differential equations of McKean–Vlasov type. Two numerical…”
Get full text

A Deep Learning Approach to Diabetic Blood Glucose Prediction by Mhaskar, Hrushikesh N., Pereverzyev, Sergei V., van der Walt, Maria D.

“…We consider the question of 30-min prediction of blood glucose levels measured by continuous glucose monitoring devices, using clinical data. While most…”
Get full text

Deep Learning in Music Recommendation Systems by Schedl, Markus

“…Like in many other research areas, deep learning (DL) is increasingly adopted in music recommendation systems (MRS). Deep neural networks are used in this…”
Get full text

Next generation neural population models by Coombes, Stephen

“…Low-dimensional neural mass models are often invoked to model the coarse-grained activity of large populations of neurons and synapses and have been used to…”
Get full text

Semi-Stochastic Gradient Descent Methods by Konečný, Jakub, Richtárik, Peter

“…In this paper we study the problem of minimizing the average of a large number of smooth convex loss functions. We propose a new method, S2GD (Semi-Stochastic…”
Get full text

MCMC Techniques for Parameter Estimation of ODE Based Models in Systems Biology by Valderrama-Bahamóndez, Gloria I., Fröhlich, Holger

“…Ordinary differential equation systems (ODEs) are frequently used for dynamical system modeling in many science fields such as economics, physics, engineering,…”
Get full text

Performance of Some Estimators of Relative Variability by Ospina, Raydonal, Marmolejo-Ramos, Fernando

“…The classic coefficient of variation (CV) is the ratio of the standard deviation to the mean and can be used to compare normally distributed data with respect…”
Get full text

Entanglement-Based Feature Extraction by Tensor Network Machine Learning by Liu, Yuhan, Li, Wen-Jun, Zhang, Xiao, Lewenstein, Maciej, Su, Gang, Ran, Shi-Ju

“…It is a hot topic how entanglement, a quantity from quantum information theory, can assist machine learning. In this work, we implement numerical experiments…”
Get full text

Deep Nets for Local Manifold Learning by Chui, Charles K., Mhaskar, Hrushikesh N.

“…The problem of extending a function f defined on a training data C on an unknown manifold 𝕏 to the entire manifold and a tubular neighborhood of this manifold…”
Get full text

Enhanced corn seed disease classification: leveraging MobileNetV2 with feature augmentation and transfer learning by Alkanan, Mohannad, Gulzar, Yonis

“…In the era of advancing artificial intelligence (AI), its application in agriculture has become increasingly pivotal. This study explores the integration of AI…”
Get full text

A Practical Guide to the Numerical Implementation of Tensor Networks I: Contractions, Decompositions, and Gauge Freedom by Evenbly, Glen

“…We present an overview of the key ideas and skills necessary to begin implementing tensor network methods numerically, which is intended to facilitate the…”
Get full text

The Mathematical Structure of Integrated Information Theory by Kleiner, Johannes, Tull, Sean

“…Integrated Information Theory is one of the leading models of consciousness. It aims to describe both the quality and quantity of the conscious experience of a…”
Get full text

Khalouta transform and applications to Caputo-fractional differential equations by Kumawat, Nikita, Shukla, Akanksha, Mishra, Manvendra Narayan, Sharma, Rahul, Dubey, Ravi Shanker

“…The paper aims to utilize an integral transform, specifically the Khalouta transform, an abstraction of various integral transforms, to address fractional…”
Get full text

Dawoud–Kibria Estimator for Beta Regression Model: Simulation and Application by Abonazel, Mohamed R., Dawoud, Issam, Awwad, Fuad A., Lukman, Adewale F.

“…The linear regression model becomes unsuitable when the response variable is expressed as percentages, proportions, and rates. The beta regression (BR) model…”
Get full text

Dynamical solutions and quadratic resonance of nonlinear perturbed Schrödinger equation by Behera, Sidheswar

“…This work investigates the perturbed nonlinear Schrödinger equation using the modified ( G ′ G 2 ) -expansion method. The obtained results are generalized and…”
Get full text

Fast and Fourier: extreme mass ratio inspiral waveforms in the frequency domain by Speri, Lorenzo, Katz, Michael L., Chua, Alvin J. K., Hughes, Scott A., Warburton, Niels, Thompson, Jonathan E., Chapman-Bird, Christian E. A., Gair, Jonathan R.

“…Extreme Mass Ratio Inspirals (EMRIs) are one of the key sources for future space-based gravitational wave interferometers. Measurements of EMRI gravitational…”
Get full text

Environmental impact assessment with rapid impact assessment matrix method: during disaster conditions by Abbasi, Sina, Modibbo, Umar Muhammad, Jafari Kolashlou, Hamed, Ali, Irfan, Kavousi, Nader

“…In the last several decades, Iran’s ecosystem has suffered due to the careless usage of natural resources. Cities have grown in an uneven and non-normative…”
Get full text

The Mathematics of Smoothed Particle Hydrodynamics (SPH) Consistency by Sigalotti, Leonardo Di G., Klapp, Jaime, Gesteira, Moncho Gómez

“…Since its inception Smoothed Particle Hydrodynamics (SPH) has been widely employed as a numerical tool in different areas of science, engineering, and more…”
Get full text

A New Two-Parameter Estimator for Beta Regression Model: Method, Simulation, and Application by Abonazel, Mohamed R., Algamal, Zakariya Yahya, Awwad, Fuad A., Taha, Ibrahim M.

“…The beta regression is a widely known statistical model when the response (or the dependent) variable has the form of fractions or percentages. In most of the…”
Get full text