Results 51 to 60 of about 725,754 (336)

Second-Order Belief Hidden Markov Models [PDF]

open access: yes, 2014
Hidden Markov Models (HMMs) are learning methods for pattern recognition. The probabilistic HMMs have been one of the most used techniques based on the Bayesian model.
A. Aregui   +17 more
core   +5 more sources

Change in Cognition Following Ischaemic Stroke

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive decline can occur following ischaemic stroke. How cognition changes over time and associations with cognitive change are poorly understood. This study aimed to explore these issues over 2 years following ischaemic stroke.
Wenci Yan   +8 more
wiley   +1 more source

Cost-effectiveness analysis of selexipag for the combined treatment of pulmonary arterial hypertension

open access: yesFrontiers in Pharmacology, 2023
Objective: Adding selexipag to the combined treatment of endothelin receptor antagonists (ERA) and phosphodiesterase 5 inhibitor (PDE5i) reduces the risk of clinical worsening events in patients with pulmonary arterial hypertension (PAH) but at a ...
Wenxing Dong   +8 more
doaj   +1 more source

Hidden Markov Model Identifiability via Tensors

open access: yes, 2013
The prevalence of hidden Markov models (HMMs) in various applications of statistical signal processing and communications is a testament to the power and flexibility of the model.
Nguyen, Hung X.   +2 more
core   +1 more source

Using multiple visual tandem streams in audio-visual speech recognition [PDF]

open access: yes, 2011
The method which is called the "tandem approach" in speech recognition has been shown to increase performance by using classifier posterior probabilities as observations in a hidden Markov model.
Erdogan, Hakan   +3 more
core   +3 more sources

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

MODEL MARKOV TERSEMBUNYI

open access: yesStatistika, 2014
Model Markov Tersembunyi (Hidden Markov Model/HMM) adalah suatu pemodelan rantai Markov keadaan hingga. Setiap keadaan membangun pengamatan dan disumsikan ada barisan keadaan yang tidak dapat diamati.
Rini Marwati
doaj  

Cost-Effectiveness Analysis of Maintenance Olaparib in Patients with Metastatic Pancreatic Cancer and a Germline BRCA1/2 Mutation Based on the POLO Trial

open access: yesCancer Management and Research, 2020
Mei Zhan,1– 3 Hanrui Zheng,1– 3 Yu Yang,2,4 Zhiyao He,1 Ting Xu,1,3 Qiu Li2,4 1Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, People’s Republic of China; 2West China Biomedical Big Data Center, Sichuan ...
Zhan M   +5 more
doaj  

Value-based approach to blood pressure telemonitoring and remote counseling in hypertensive patients

open access: yesBlood Pressure, 2021
Purpose Blood pressure telemonitoring and remote counselling (BPTM) improves blood pressure (BP) control in patients with hypertension (HTN). Studies assessing the efficacy of BPTM from a value-based perspective are lacking.
Mikhail V. Ionov   +7 more
doaj   +1 more source

Discrete Time Hybrid Semi-Markov Models in Manpower Planning

open access: yesMathematics, 2021
Discrete time Markov models are used in a wide variety of social sciences. However, these models possess the memoryless property, which makes them less suitable for certain applications.
Brecht Verbeken, Marie-Anne Guerry
doaj   +1 more source

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