Results 121 to 130 of about 23,984,619 (356)

Dissecting unsupervised learning through hidden Markov modelling in electrophysiological data [PDF]

, 2023
Laura Masaracchia, Felipe Fredes, Mark W. Woolrich, Diego Vidaurre   +3 more
openalex   +1 more source

Hybrid Simulated Annealing and Its Application to Optimization of Hidden Markov Models for Visual Speech Recognition

, 2010
Jong‐Seok Lee, Cheol Hoon Park
openalex   +2 more sources

Gene prediction with a hidden Markov model and a new intron submodel

European Conference on Computational Biology, 2003
M. Stanke, S. Waack
semanticscholar   +1 more source

Revisiting a long‐overlooked skull: Implications for the distribution of Dinodontosaurus brevirostris (Kannemeyeriiformes) in the Brazilian Triassic

The Anatomical Record, EarlyView.
Abstract Dicynodonts (Anomodontia: Dicynodontia) were one of the main groups of terrestrial tetrapods in Permian and Triassic faunas. In Brazil, the genus Dinodontosaurus is one of the most common tetrapod taxon in the Triassic Santa Maria Supersequence. This genus has a complex taxonomic history and is represented in the Triassic of both Argentina and
Julia Lara Rodrigues de Souza, João Lucas Da Silva, Voltaire D. P. Neto, Arielli Fabrício Machado, Juan A. Escobar, Felipe L. Pinheiro   +5 more
wiley   +1 more source

An ontological morphological phylogenetic framework for living and extinct ray‐finned fishes (Actinopterygii)

The Anatomical Record, EarlyView.
Abstract The ray‐finned fishes include one out of every two species of living vertebrates on Earth and have an abundant fossil record stretching 380 million years into the past. The division of systematic knowledge of ray‐finned fishes between paleontologists working on extinct animals and neontologists studying extant species has obscured the ...
Jack Stack
wiley   +1 more source

Air conditioning reliability analysis based on dynamic Bayesian network and Markov model

International Journal of Metrology and Quality Engineering
With the popularization of the air conditioning, its reliability during operation has gradually become a focus of attention. However, due to the uncertainty in the reliability analysis process, the accuracy of the results will be affected.
Xu Jiaqi, Wang Qiang, Zhou Juan, Wu Linlin, Chen Jiayan, Zhou Haiting   +5 more
doaj   +1 more source

Single‐Cell RNA Sequencing Informs Precision Targeting of Monogenic Lupus Associated With IKZF1 Haploinsufficiency

Arthritis &Rheumatology, EarlyView.
Objective This study aimed to investigate the mechanisms of immune dysregulation in a pediatric patient with monogenic lupus driven by IKZF1 haploinsufficiency. Methods Peripheral immune cells from a patient with IKZF1 haploinsufficiency, patients with lupus with no currently known genetic mutations, and healthy controls were analyzed using single‐cell
Qi Zheng, Yejun Tan, Zhaoling Wang, Yanjie Qian, Qian Ma, Danping Shen, Meiping Lu   +6 more
wiley   +1 more source

A Stochastic Method based on the Markov Model of Unit Jump for Analyzing Crack Jump in a Material

, 2017
Karima Selmani Bouayoune, El Mostapha Boudi, Aziz Bachir   +2 more
openalex   +1 more source

Profile hidden Markov models of the Glycoside Hydrolase 19 Engineering Database

, 2020
Marco Orlando
openalex   +1 more source

Risk‐aware safe reinforcement learning for control of stochastic linear systems

Asian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili, Nariman Niknejad, Hamidreza Modares   +2 more
wiley   +1 more source