Results 111 to 120 of about 18,335 (312)

Local labor market frictions and platform‐based entrepreneurship

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Building on prior research about the heterogeneous impact of labor shocks on individuals' propensity to start businesses, we explore how local labor market frictions affect individuals' selection into platform‐based entrepreneurship.
Ruiqing Cao, Yifan Lyu
wiley   +1 more source

Phylogeny, species delimitation and machine learning bridge the gap between DNA sequences and morphology in the lichen genus Arctomia (Arctomiaceae, Ascomycota)

TAXON, EarlyView.
Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman, Måns Svensson, Martin Westberg   +2 more
wiley   +1 more source

Local Search and the Evolution of World Models

Topics in Cognitive Science, EarlyView., 2023
Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley, Bonan Zhao, Tadeg Quillien, Christopher G. Lucas   +3 more
wiley   +1 more source

DIRICHLET PROBLEM WITH STOCHASTIC COEFFICIENTS

Stochastics and Dynamics, 2005
We consider general second-order linear elliptic partial differential equations having random coefficients and random data and fulfilling the homogeneous Dirichlet condition. We prove the existence and uniqueness of the weak solution in a certain tensor product space which is suitably completed to make it a Hilbert space. The factors of this space are
openaire   +2 more sources

Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
In this study, we address the challenge of analyzing worker behaviors in high‐mix, low‐volume production environments, where traditional supervised learning methods struggle owing to the lack of labeled data and task variability among workers. To overcome these issues, we propose a novel hierarchical approach for unsupervised behavior pattern ...
Issei Saito, Tomoaki Nakamura, Toshiyuki Hatta, Wataru Fujita, Shintaro Watanabe, Shotaro Miwa   +5 more
wiley   +1 more source

An Introduction to Predictive Processing Models of Perception and Decision‐Making

Topics in Cognitive Science, EarlyView., 2023
Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley   +1 more source

Positive solutions for generalized Hardy-Henon equations

Electronic Journal of Differential Equations
This article concerns a generalized Hardy-Henon equation and its associated Dirichlet problem. We obtain upper and lower estimates for positive solutions, and establish the existence and nonexistence of positive solutions to both the equation and its ...
Xizheng Zhang, Xiyou Cheng, Meihua Yang
doaj  

Physics‐Driven Deep Neural Networks for Solving the Optimal Transport Problem Associated With the Monge–Ampère Equation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Monge–Ampère equations (MAEs) are fully nonlinear second‐order partial differential equations (PDEs), which are closely related to various fields including optimal transport (OT) theory, geometrical optics and affine geometry. Despite their significance, MAEs are extremely challenging to solve.
Xinghua Pan, Zexin Feng, Kang Yang
wiley   +1 more source

The Dirichlet problem for the prescribed curvature quotient equations

, 1994
Mi Lin, Neil S. Trudinger
openalex   +2 more sources

Quantitative Evaluation of Mechanical Defects for Circuit Breakers Based on Self‐Adaptive Fault Feature Tracking

High Voltage, EarlyView.
ABSTRACT Many researchers are committed to improving the diagnosis accuracy and solving the few‐shot problem on circuit breakers (CBs). However, the research on the vibration transmission mechanism of the fault is insufficient, which makes it difficult to find the potential design defects of CBs through vibration.
Jiayi Gong, Yaxiong Tan, Shangding Li, Jian Li   +3 more
wiley   +1 more source