Results 41 to 50 of about 1,485 (251)

Designing Reconfigurable Intelligent Systems with Markov Blankets

open access: yes, 2023
Compute Continuum (CC) systems comprise a vast number of devices distributed over computational tiers. Evaluating business requirements, i.e., Service Level Objectives (SLOs), requires collecting data from all those devices; if SLOs are violated, devices must be reconfigured to ensure correct operation.
Boris Sedlak   +3 more
openaire   +2 more sources

Recurrent, nonequilibrium systems and the Markov blanket assumption

open access: yesBehavioral and Brain Sciences, 2022
Abstract Markov blankets – statistical independences between system and environment – have become popular to describe the boundaries of living systems under Bayesian views of cognition. The intuition behind Markov blankets originates from considering acyclic, atemporal networks.
Miguel Aguilera, Christopher Buckley
openaire   +3 more sources

bNEAT: a Bayesian network method for detecting epistatic interactions in genome-wide association studies

open access: yesBMC Genomics, 2011
Background Detecting epistatic interactions plays a significant role in improving pathogenesis, prevention, diagnosis and treatment of complex human diseases. A recent study in automatic detection of epistatic interactions shows that Markov Blanket-based
Chen Xue-wen, Han Bing
doaj   +1 more source

Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance

open access: yesEntropy, 2019
Over recent decades, the rapid growth in data makes ever more urgent the quest for highly scalable Bayesian networks that have better classification performance and expressivity (that is, capacity to respectively describe dependence relationships between
LiMin Wang   +4 more
doaj   +1 more source

Hybrid Local Causal Structure Learning

open access: yesJisuanji kexue yu tansuo, 2021
ocal causal structure learning focuses on identifying the direct causes and direct effects of a given target variable without learning an entire causal network. Existing local causal structure learning algorithms are usually completed by two steps.
WANG Yunxia, CAO Fuyuan, LING Zhaolong
doaj   +1 more source

Identifying Markov blankets with decision tree induction [PDF]

open access: yesThird IEEE International Conference on Data Mining, 2004
The Markov blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov blankets inform feature selection, aid in causal discovery and serve as a basis for scalable methods of constructing Bayesian networks.
Lewis J. Frey   +4 more
openaire   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane   +3 more
wiley   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

Stock Market Trend Prediction Algorithm Based on Morphological Characteristics and Causal Ridge Regression [PDF]

open access: yesJisuanji gongcheng, 2016
Based on the typical M form of the block volatility,this paper puts forward a ridge regression stock market trend prediction algorithm based on causality.Stock form reflects the stock fluctuations of energy change.According to the characteristics of the ...
YAO Hongliang,MA Xiaoqin,WANG Hao,LI Junzhao
doaj   +1 more source

Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells

open access: yesAdvanced Materials, EarlyView.
This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno   +16 more
wiley   +1 more source

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