Results 11 to 20 of about 654,785 (260)
Flexible structure learning under uncertainty [PDF]
Frontiers in Neuroscience, 2023 Experience is known to facilitate our ability to interpret sequences of events and make predictions about the future by extracting temporal regularities in our environments.
Rui Wang +5 more
doaj +7 more sources
Improved Local Search with Momentum for Bayesian Networks Structure Learning [PDF]
Entropy, 2021 Bayesian Networks structure learning (BNSL) is a troublesome problem that aims to search for an optimal structure. An exact search tends to sacrifice a significant amount of time and memory to promote accuracy, while the local search can tackle complex ...
Xiaohan Liu +3 more
doaj +2 more sources
Adaptive learning is structure learning in time. [PDF]
Neurosci Biobehav Rev, 2021 People use information flexibly. They often combine multiple sources of relevant information over time in order to inform decisions with little or no interference from intervening irrelevant sources. They adjust the degree to which they use new information over time rationally in accordance with environmental statistics and their own uncertainty.
Yu LQ, Wilson RC, Nassar MR.
europepmc +4 more sources
Causal Analysis of Physiological Sleep Data Using Granger Causality and Score-Based Structure Learning [PDF]
Sensors, 2023 Understanding how the human body works during sleep and how this varies in the population is a task with significant implications for medicine. Polysomnographic studies, or sleep studies, are a common diagnostic method that produces a significant ...
Alex Thomas +2 more
doaj +2 more sources
Causal Structure Learning with Conditional and Unique Information Groups-Decomposition Inequalities [PDF]
EntropyThe causal structure of a system imposes constraints on the joint probability distribution of variables that can be generated by the system. Archetypal constraints consist of conditional independencies between variables.
Daniel Chicharro, Julia K. Nguyen
doaj +2 more sources
Bayesian Network Structure Learning Method Based on Causal Direction Graph for Protein Signaling Networks [PDF]
Entropy, 2022 Constructing the structure of protein signaling networks by Bayesian network technology is a key issue in the field of bioinformatics. The primitive structure learning algorithms of the Bayesian network take no account of the causal relationships between
Xiaohan Wei, Yulai Zhang, Cheng Wang
doaj +2 more sources
Learning hierarchically-structured concepts [PDF]
Neural Networks, 2021 We study the question of how concepts that have structure get represented in the brain. Specifically, we introduce a model for hierarchically structured concepts and we show how a biologically plausible neural network can recognize these concepts, and how it can learn them in the first place.
Nancy Lynch, Frederik Mallmann-Trenn
openaire +4 more sources
Learning Latent Jet Structure [PDF]
Symmetry, 2021 We summarize our recent work on how to infer on jet formation processes directly from substructure data using generative statistical models. We recount in detail how to cast jet substructure observables’ measurements in terms of Bayesian mixed membership models, in particular Latent Dirichlet Allocation.
Dillon, Barry M +3 more
openaire +3 more sources
Structure-preserving deep learning [PDF]
European Journal of Applied Mathematics, 2021 Over the past few years, deep learning has risen to the foreground as a topic of massive interest, mainly as a result of successes obtained in solving large-scale image processing tasks. There are multiple challenging mathematical problems involved in applying deep learning: most deep learning methods require the solution of hard optimisation problems,
CELLEDONI, E. +6 more
openaire +5 more sources
Dynamic Bayesian Network Modeling Based on Structure Prediction for Gene Regulatory Network
IEEE Access, 2021 Gene regulatory network can intuitively reflect the interaction between genes, and an in-depth study of these relationships plays a significant role in the treatment and prevention of clinical diseases.
Luxuan Qu +6 more
doaj +1 more source