Localized Distribution In The AI Era: The DIRHAM Framework

The DIRHAM framework redefines distribution strategy, showing how paid signals, influencers, and AI visibility work together ...
eLife

Spontaneous emergence and evolution of neuronal sequences in recurrent networks

This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...
IEEE

Analysis of Anode Current From a Thermionic Cathode With a 2-D Work Function Distribution

Abstract: A model of a thermionic cathode in a planar diode in which the Poisson and Vlasov equations are solved in 3-D assuming an infinite magnetic field is presented. We explore how 2-D work ...
Scientific Research Publishing

Vlasov, A.A. (1967) Statistical Distribution Functions. Nauka.

ABSTRACT: In this paper, the formation criteria of nonstationary pseudoperiodic structures in a cosmological system of gravitating particles are demonstrated. These criteria are based on the properies ...
Digi Times

Simeon Denis Poisson's work in probability theory underpins modern AI and machine learning applications

The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...
Frontiers

A GLM-based zero-inflated generalized Poisson factor model for analyzing microbiome data

High-throughput sequencing technology facilitates the quantitative analysis of microbial communities, improving the capacity to investigate the associations between the human microbiome and diseases.
Insurancenewsnet.com

Researcher at Department of Management Reports Research in Risk Management (Stochastic Claims Reserve in the Healthcare System: A Methodology Applied to Italian Data ...

2024 FEB 12 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Investigators publish new report on risk management. According to news reporting originating from Pisa, ...
The Earth Institute Columbia University

probability distributions for epidemiologists

dxxx(x,) returns the density or the value on the y-axis of a probability distribution for a discrete value of x pxxx(q,) returns the cumulative density function (CDF) or the area under the curve to ...
marktechpost

Latest Machine Learning Research at MIT Presents a Novel ‘Poisson Flow’ Generative Model (PFGM) That Maps any Data Distribution into a Uniform Distribution on a High ...

Deep generative models are a popular data generation strategy used to generate high-quality samples in pictures, text, and audio and improve semi-supervised learning, domain generalization, and ...
IEEE

Load Distribution in Poisson Networks With Spatially Coupled Users

Abstract: In this correspondence, we investigate the cell load on cellular networks incorporating the spatial coupling between base stations (BSs) and users. Modeling the locations of BSs as a ...