Results 101 to 110 of about 63,948 (252)

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, Ibrahim A. Hameed, Syed Muslim Shah, Sohaib Hassan Khan, Irfan Zafar, Saad Bin Ahmed, Junaid Shuja   +6 more
doaj   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, EarlyView.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +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

Hierarchical semi-markov conditional random fields for recursive sequential data [PDF]

, 2008
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov chains to model complex hierarchical, nested Markov processes.
Bui, Hung H., Phung, Dinh Q., Truyen, Tran The, Venkatesh, Svetha   +3 more
core   +2 more sources

Duration and Interval Hidden Markov Model for Sequential Data Analysis

, 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

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

Properties of the Statistical Complexity Functional and Partially Deterministic HMMs

Entropy, 2009
Statistical complexity is a measure of complexity of discrete-time stationary stochastic processes, which has many applications. We investigate its more abstract properties as a non-linear function of the space of processes and show its close relation to
Wolfgang Löhr
doaj   +1 more source

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

, 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, Mantegna, Rosario N., Vaglica, Gabriella   +2 more
core   +1 more source

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

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

Trans‐QTL Alliance of HKT1 and PHL7 Modulate Salinity Stress Tolerance and Enhance Crop Yield Endurance

Plant Biotechnology Journal, EarlyView.
ABSTRACT Salinity stress can cause significant yield losses in crops because of its major impact on reproductive success. The complexity of salinity stress responses, particularly their tissue‐ and cell‐specific regulation, continues to challenge the translation of molecular insights into tangible crop yield improvements.
Jitendra K. Mohanty, Antima Yadav, Laxmi Narnoliya, Virevol Thakro, Deepanshi Rathore, Shailesh Tripathi, Senjuti Sinharoy, Pinky Agarwal, Swarup K. Parida   +8 more
wiley   +1 more source