Results 81 to 90 of about 24,804 (235)
Finite-Time Asynchronous H∞ Control for Non-Homogeneous Hidden Semi-Markov Jump Systems
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 +3 more
doaj +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
Riding out the storm: Behavioural responses of a large herbivore to high‐Arctic winds
Using 11 years of GPS data from 61 muskoxen in Northeast Greenland, we show how increasing wind speed and Arctic storms reshape movement modes and habitat selection. Muskoxen respond by bedding in dense vegetation, prioritizing energy conservation over foraging, revealing a simple behavioural strategy with potential fitness consequences under ...
Floris M. van Beest +2 more
wiley +1 more source
A Logical Hierarchical Hidden Semi-Markov Model for Team Intention Recognition
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 +3 more
doaj +1 more source
Abstract Background Emotional and motivational aspects of teacher–student relationships are central to adolescents' psychological need satisfaction and academic development. However, few longitudinal studies examine how these relational experiences evolve during adolescence or co‐occur with emotional‐motivational functioning.
Fabian Schimmelpfennig, Diana Raufelder
wiley +1 more source
hmmTMB: Hidden Markov Models with Flexible Covariate Effects in R
Hidden Markov models (HMMs) are widely applied in studies where a discrete-valued process of interest is observed indirectly. They have for example been used to model behavior from human and animal tracking data, disease status from medical data, and ...
Théo Michelot
doaj +1 more source
Automatic Harmonization Using a Hidden Semi-Markov Model
Hidden Markov Models have been used frequently in the audio domain to identify underlying musical structure. Much less work has been done in the purely symbolic realm. Recently, a substantial amount of expert-labelled symbolic musical data has been injected into the research community.
openaire +2 more sources
Evaluating the CDMA System Using Hidden Markov and Semi Hidden Markov Models
CDMA is an important and basic part of today’s communications technologies. This technology can be analyzed efficiently by reducing the time, computation burden, and cost by characterizing the physical layer with a Markov Model. Waveform level simulation
Mostafaei, Hamidreza; Department of Statistics, Tehran North Branch, Islamic Azad University, Tehran, Iran +3 more
core +1 more source
ABSTRACT Dispersal during early life stages is a critical process shaping marine fish connectivity and population dynamics, yet direct field observations at the individual level remain elusive. This has limited our understanding of the factors controlling dispersal, including the impact of active swimming by larvae and juveniles. Here, we present a new
Tatsuya Sakamoto +4 more
wiley +1 more source
Equivalence and Reduction of Hidden Markov Models [PDF]
This report studies when and why two Hidden Markov Models (HMMs) may represent the same stochastic process. HMMs are characterized in terms of equivalence classes whose elements represent identical stochastic processes. This characterization yields
Balasubramanian, Vijay +1 more
core +1 more source

