Results 61 to 70 of about 8,821,946 (173)

A perspective on automated rapid eye movement sleep assessment

Journal of Sleep Research, Volume 34, Issue 2, April 2025.
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley   +1 more source

Is the World Getting Smaller? Network‐Driven Heterogeneity in Gravity‐Model Elasticities

The World Economy, EarlyView.
ABSTRACT Gravity models constitute the workhorse of empirical international trade research, yet the temporal stability of their core parameters—distance and GDP elasticities—remains underexplored, particularly in relation to the evolving structure of trade networks.
Zsolt T. Kosztyán, Rita Mátrai, Dénes Kiss   +2 more
wiley   +1 more source

Neuron's eye view: Inferring features of complex stimuli from neural responses. [PDF]

PLoS Computational Biology, 2017
Experiments that study neural encoding of stimuli at the level of individual neurons typically choose a small set of features present in the world-contrast and luminance for vision, pitch and intensity for sound-and assemble a stimulus set that ...
Xin Chen, Jeffrey M Beck, John M Pearson
doaj   +1 more source

Building phenotypic character matrices for phylogenetic inference: exploration of 35 years of practice

Biological Reviews, Volume 101, Issue 5, Page 2379-2407, October 2026.
ABSTRACT Recent methodological development in phylogenetic inference has focused predominantly on molecular data. However, renewed interest in other data types, particularly morphological data, has followed from the increased recognition of the power of total evidence and tip‐dating approaches, including fossil data, for inference of time‐scaled trees ...
Melanie J. Hopkins, Mark C. Nikolic, James D. Holmes, Daniela S. Monti, Ernesto E. Vargas‐Parra, Russell D.C. Bicknell, Gregory D. Edgecombe, Katherine Jordan‐Burmeister, John R. Paterson, Shravya Srivastava‐Losey   +9 more
wiley   +1 more source

Finite-Time Asynchronous H_∞ Control for Non-Homogeneous Hidden Semi-Markov Jump Systems

Mathematics
This article explores the finite-time control problem associated with a specific category of non-homogeneous hidden semi-Markov jump systems. Firstly, a hidden semi-Markov model is designed to characterize the asynchronous interactions that occur between
Qian Wang, Xiaojun Zhang, Yu Shao, Kaibo Shi   +3 more
doaj   +1 more source

Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA

Communications on Pure and Applied Mathematics, Volume 79, Issue 10, Page 2291-2369, October 2026.
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous, Cédric Gerbelot, Vanessa Piccolo   +2 more
wiley   +1 more source

Markov-Switching models and resultant equity implied volatility surfaces: a South African application [PDF]

, 2012
Includes bibliographical references.Standard Geometric Brownian Motion is the stock model underlying Black-Scholes famous option pricing formula. There are however numerous problems with this stock model as certain features do not follow some empirical ...
Fairbrother, Mark
core   +1 more source

Emergent Learner Agency in Implicit Human–AI Collaboration: How Supportive and Contrarian AI Personas Reshape Interaction

Journal of Computer Assisted Learning, Volume 42, Issue 5, October 2026.
ABSTRACT Background As agentic artificial intelligence (AI) systems move beyond tool‐like support toward more autonomous, team‐like roles, a central question concerns the extent to which such systems can meaningfully participate in collaborative learning.
Yueqiao Jin, Roberto Martinez‐Maldonado, Dragan Gašević, Xibin Han, Lixiang Yan   +4 more
wiley   +1 more source

Hidden Semi Markov Models for Multiple Observation Sequences: The mhsmm Package for R [PDF]

This paper describes the R package mhsmm which implements estimation and prediction methods for hidden Markov and semi-Markov models for multiple observation sequences. Such techniques are of interest when observed data is thought to be dependent on some
Søren Højsgaard, Jared O'Connell
core  

A Logical Hierarchical Hidden Semi-Markov Model for Team Intention Recognition

Discrete Dynamics in Nature and Society, 2015
Intention recognition is significant in many applications. In this paper, we focus on team intention recognition, which identifies the intention of each team member and the team working mode.
Shi-guang Yue, Peng Jiao, Ya-bing Zha, Quan-jun Yin   +3 more
doaj   +1 more source