Structure learning - Open Access .click

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Bayesian network structure learning by dynamic programming algorithm based on node block sequence constraints

CAAI Transactions on Intelligence Technology
The use of dynamic programming (DP) algorithms to learn Bayesian network structures is limited by their high space complexity and difficulty in learning the structure of large‐scale networks.
Chuchao He, Ruohai Di, Bo Li, Evgeny Neretin +3 more
doaj +1 more source

Transcendental model selection: a computational account of symbolic cognition and general intelligence through morality and culture

Frontiers in Sociology
General intelligence enables flexible problem solving across diverse contexts by minimizing uncertainty. Symbolic systems such as language extend this capacity, allowing humans to build social groups and construct world models beyond typical biological ...
Shagor Rahman, Andrew Pashea
doaj +1 more source

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source

Quantitative MRI Uncovers Subtle Cortical Damage in Myelin Oligodendrocyte Glycoprotein Antibody‐Associated Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera +20 more
wiley +1 more source

Do Something Different

, 1977
Informational booklet on Learning About Learning Educational ...
Learning About Learning
core +1 more source

May at the Idea Workshop

Learning About Learning events for the month of ...
Learning About Learning
core +1 more source

Technology-Enabled Learning Implementation [PDF]

, 2019
The TEL implementation project assists educational institutions in increasing/ improving: • Number of learners using ICTs; • Number of teachers using ICTs; • Availability of courses using ICTs for teaching and learning; • Student learning through
Commonwealth of Learning
core +1 more source

Structure learning for gene regulatory networks. [PDF]

PLoS Comput Biol, 2023
Federico A, Kern J, Varelas X, Monti S.
europepmc +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source

Temporal Interference Stimulation of Centromedian‐Parafascicular Complex in Disorders of Consciousness: A Pilot Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu +7 more
wiley +1 more source

bayesian networks
causal discovery
bayesian network

causality
active inference
probabilistic graphical models

bayesian model selection
directed acyclic graphs
parameter learning