Results 101 to 110 of about 66,463 (260)

A perspective on automated rapid eye movement sleep assessment

open access: yesJournal 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

Dirichlet Posterior Sampling with Truncated Multinomial Likelihoods [PDF]

open access: yes, 2012
We consider the problem of drawing samples from posterior distributions formed under a Dirichlet prior and a truncated multinomial likelihood, by which we mean a Multinomial likelihood function where we condition on one or more counts being zero a priori.
Johnson, Matthew James, Willsky, Alan S.
core  

Duration and Interval Hidden Markov Model for Sequential Data Analysis

open access: yes, 2015
Analysis of sequential event data has been recognized as one of the essential tools in data modeling and analysis field. In this paper, after the examination of its technical requirements and issues to model complex but practical situation, we propose a ...
Kasai, Hiroyuki, Narimatsu, Hiromi
core   +1 more source

Automation and Augmentation in Theological Perspective

open access: yesModern 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

Generalized Species Sampling Priors with Latent Beta reinforcements

open access: yes, 2014
Many popular Bayesian nonparametric priors can be characterized in terms of exchangeable species sampling sequences. However, in some applications, exchangeability may not be appropriate. We introduce a {novel and probabilistically coherent family of non-
Blei D.   +16 more
core   +2 more sources

Links between trauma and psychotic symptoms: Integrating cognitive behavioural and neuropsychoanalytic models of psychosis

open access: yesPsychology 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

A New State Recognition and Prognosis Method Based on a Sparse Representation Feature and the Hidden Semi-Markov Model

open access: yesIEEE Access, 2020
Equipment degradation state recognition and prognosis are considered two significant parts of a prognostics and health management (PHM) system that help to reduce downtime and decrease economic losses.
Yun-Fei Ma   +5 more
doaj   +1 more source

Statistical identification with hidden Markov models of large order splitting strategies in an equity market

open access: yes, 2010
Large trades in a financial market are usually split into smaller parts and traded incrementally over extended periods of time. We address these large trades as hidden orders.
Lillo, Fabrizio   +2 more
core   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang   +3 more
wiley   +1 more source

Propositionalisation of multiple sequence alignments using probabilistic models [PDF]

open access: yes, 2008
Multiple sequence alignments play a central role in Bioinformatics. Most alignment representations are designed to facilitate knowledge extraction by human experts.
Holmes, Geoffrey   +2 more
core   +2 more sources

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