Results 41 to 50 of about 1,485 (251)
Designing Reconfigurable Intelligent Systems with Markov Blankets
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
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Recurrent, nonequilibrium systems and the Markov blanket assumption
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
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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
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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
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Hybrid Local Causal Structure Learning
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
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Identifying Markov blankets with decision tree induction [PDF]
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
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Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
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
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]
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
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Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells
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

