Structural learning of bayesian networks using statistical constraints [PDF]
, 2012 Bayesian Networks are probabilistic graphical models that encode in a compact manner the conditional probabilistic relations over a set of random variables.
Venco, Francesco
core
Electronic structure prediction of medium and high entropy alloys across composition space
npj Computational MaterialsWe propose machine learning (ML) models to predict the electron density — the fundamental unknown of a material’s ground state — across the composition space of concentrated alloys.
Shashank Pathrudkar +8 more
doaj +1 more source
Application of Bayesian Active Learning to the Estimation of Auditory Filter Shapes Using the Notched-Noise Method. [PDF]
Trends Hear, 2020 Schlittenlacher J, Turner RE, Moore BCJ.
europepmc +1 more source
Advanced Science, EarlyView.This review systematically bridges chronic wound pathology with natural phytochemical hydrogel therapeutics. A pathology‐to‐phytochemical mechanistic mapping framework is established, linking specific wound hallmarks to targeted phytochemical interventions.
Yitao Zhou +8 more
wiley +1 more source
Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Advanced Science, EarlyView.Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
Decentralized Bayesian reinforcement learning for online agent collaboration [PDF]
, 2012 Solving complex but structured problems in a decentralized manner via multiagent collaboration has received much attention in recent years. This is natural, as on one hand, multiagent systems usually possess a structure that determines the allowable ...
Farinelli, A. +15 more
core
Closing the Loop: High‐Precision 3D Photofabrication in Living Tissues
Advanced Science, EarlyView.Writing 3D microstructures inside living tissue demands more than laser access; It demands information. Hierarchical sensing captures thermal and mechanical states across pulse‐train, voxel, and structure timescales, feeding a controller that steers the laser in real time.
Amirbahador Zeynali +2 more
wiley +1 more source
Autonomous Experimentation: Active Learning for Enzyme Response Characterisation
, 2011 Characterising response behaviours of biological systems is impaired by limited resources that restrict the exploration of high dimensional parameter spaces.
Zauner, Klaus-Peter +3 more
core +1 more source
Retrospective Grid Cells in the Medial Entorhinal Cortex Encode Past Paths During Spatial Navigation
Advanced Science, EarlyView.Retrospective grid cells are identified in the medial entorhinal cortex, with spatial firing patterns that become most grid‐like when activity is projected onto recently traversed locations. Their coding loses spatial precision in darkness and is disrupted during assisted movement, indicating that entorhinal representations incorporate recent path ...
Ruojin Liu +10 more
wiley +1 more source
An Expertise Transfer Framework For Autonomous Surgical Assistance
Advanced Science, EarlyView.This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao +12 more
wiley +1 more source