Results 91 to 100 of about 298,037 (275)
, 2022 The gap between the Markov blanket and ontological boundaries arises from the former’s inability to capture the dynamic process through which biological and cognitive agents actively generate their own boundaries with the environment. Active inference in
Kengo Miyazono +2 more
core +1 more source
Advanced Science, EarlyView.scTIDE identifies single‐cell tipping points by combining manifold‐based graph representations with optimal‐transport conditional flow matching, which preserves intrinsic topology and models distributional dynamics. It supports critical‐transition detection at individual‐cell resolution, prediction of unseen cells, and dimensionality reduction and ...
Jiayuan Zhong +6 more
wiley +1 more source
Discrete Dynamics in Nature and Society, 2019 Driving anger, known as “road rage”, has gradually become a serious traffic psychology issue. Although driving anger identification is solved in some studies, there is still a gap in driving anger grading which is helpful to take different intervening ...
Ping Wan +3 more
doaj +1 more source
Feature Selection With Ensemble Learning Based on Improved Dempster-Shafer Evidence Fusion
IEEE Access, 2019 Feature selection or attribute reduction is an important data preprocessing technique for dimensionality reduction in machine learning and data mining.
Yifeng Zheng +4 more
doaj +1 more source
An Improved IAMB Algorithm for Markov Blanket Discovery
Journal of Computers, 2010 Finding an efficient way to discover Markov blanket is one of the core issue s in data mining. This paper first discusses the problems existed in IAMB algorithm which is a typical algorithm for discovering the Markov b lanket of a target variable from the training dat a, and then proposes an improved algorithm λ -IAMB based ...
Yishi Zhang +3 more
openaire +2 more sources
A PC-Style Markov Blanket for High Dimensional Datasets
, 2018 For classification in high-dimensional datasets, it is often helpful to know not just the Markov blanket MB(t) of the target variable t but also the Markov blanket DAG MBD(t) of t.
Joe Ramsey (5372336)
core +1 more source
Gap‐Free Information Transfer in 4D‐STEM via Fusion of Complementary Scattering Channels
Advanced Science, EarlyView.Fused Full‐Field STEM (FF‐STEM) is introduced as a 4D‐STEM imaging modality that combines direct ptychography with tilt‐corrected dark‐field reconstruction in a single acquisition. Fourier‐space fusion using Wiener‐type spectral weighting closes the low‐frequency contrast gap inherent to bright‐field methods, delivering gap‐free, dose‐efficient, near ...
Shengbo You +15 more
wiley +1 more source
The future stability of upland blanket peat following historical erosion and recent re-vegetation [PDF]
, 2005 The importance of fluvial dissection in upland blanket peat erosion is well-established but knowledge of the significance of peatland gully system development is limited. This thesis investigates the stability of upland blanket peat in relation to recent
Clement, Sarah
core
Transposable Element–Driven PIEZO Mutation Enhances Locust Flight in Plateau Hypoxia
Advanced Science, EarlyView.Why transposable elements (TEs) persisted or expanded in genomes remains a mystery. Using integrated analysis of TE macro‐ and microevolution in locusts, our results showed that thousands of TE insertions promoted widespread adaptive variation. Subfamilies of candidate adaptive TEs amplified and reshaped species‐level genomic architecture.
Xuanzhao Li +8 more
wiley +1 more source
Mining Markov Blankets Without Causal Sufficiency
IEEE Transactions on Neural Networks and Learning Systems, 2018 Markov blankets (MBs) in Bayesian networks (BNs) play an important role in both local causal discovery and large-scale BN structure learning. Almost all existing MB discovery algorithms are designed under the assumption of causal sufficiency, which states that there are no latent common causes for two or more of the observed variables in data. However,
Kui Yu +3 more
openaire +4 more sources