Results 71 to 80 of about 5,911 (187)
Maximum likelihood estimation for hidden semi-Markov models
Comptes Rendus. Mathématique, 2006 In this Note we consider a discrete-time hidden semi-Markov model and we prove that the nonparametric maximum likelihood estimators for the characteristics of such a model have nice asymptotic properties, namely consistency and asymptotic normality.
Barbu, Vlad, Limnios, Nikolaos
openaire +2 more sources
Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation
Journal of Integrative Plant Biology, EarlyView.ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu +4 more
wiley +1 more source
Finite-Time Asynchronous H∞ Control for Non-Homogeneous Hidden Semi-Markov Jump Systems
MathematicsThis 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
Scientific Reports, 2021 Osteoarthritis (OA) is a chronic condition often associated with pain, affecting approximately fourteen percent of the population, and increasing in prevalence.
Zekun Xu +3 more
doaj +1 more source
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
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 +3 more
doaj +1 more source
Automation and Augmentation in Theological Perspective
Modern Theology, EarlyView.Abstract AI enables forms of automation that threaten unemployment and deskilling, eliminating important opportunities for the development of virtue. The concomitant loss of virtue and meaningful employment makes it a theological problem from the perspective of Catholic social teaching and theological anthropology.
Paul Scherz
wiley +1 more source
Psychology and Psychotherapy: Theory, Research and Practice, EarlyView.Abstract Purpose Cognitive‐behavioural therapy for psychosis (CBTp) achieves small to modest effect sizes, which invites the question, ‘What clinical modifications might improve outcomes?’ This paper proposes an integration of CBTp with a neuropsychoanalytic approach that in clinical practice might extend the gains achieved by CBTp alone.
Michael Garrett
wiley +1 more source
Regularized Urdu Speech Recognition with Semi-Supervised Deep Learning
Applied Sciences, 2019 Automatic Speech Recognition, (ASR) has achieved the best results for English, with end-to-end neural network based supervised models. These supervised models need huge amounts of labeled speech data for good generalization, which can be quite a ...
Mohammad Ali Humayun +6 more
doaj +1 more source
Plant, Cell &Environment, EarlyView.ABSTRACT Alnus glutinosa is one of only three lineages within the order Fagales capable of establishing root nodule symbiosis (RNS). Although a fragmented genome assembly of A. glutinosa was previously available, its limited quality, combined with the lack of comprehensive transcriptomic resources, has constrained in‐depth comparative and functional ...
Zijian Liu +11 more
wiley +1 more source