Results 71 to 80 of about 387,199 (302)

RWRNET: A Gene Regulatory Network Inference Algorithm Using Random Walk With Restart

Frontiers in Genetics, 2020
Inferring gene regulatory networks from expression data is essential in identifying complex regulatory relationships among genes and revealing the mechanism of certain diseases.
Wei Liu, Wei Liu, Xingen Sun, Li Peng, Lili Zhou, Hui Lin, Yi Jiang   +6 more
doaj   +1 more source

Fish ecotyping based on machine learning and inferred network analysis of chemical and physical properties

Scientific Reports, 2021
Functional diversity rather than species richness is critical for the understanding of ecological patterns and processes. This study aimed to develop novel integrated analytical strategies for the functional characterization of fish diversity based on ...
Feifei Wei, Kengo Ito, Kenji Sakata, Taiga Asakura, Yasuhiro Date, Jun Kikuchi   +5 more
doaj   +1 more source

A scale-free universal relational information matrix (N-space) reconciles the information problem: N-space as the fabric of reality

Communicative & Integrative Biology, 2023
Cellular measurement is a crucial faculty in living systems, and exaptations are acknowledged as a significant source of evolutionary innovation.
William B. Miller
doaj   +1 more source

Evaluation of the Performance of the Markov Blanket Bayesian Classifier Algorithm [PDF]

, 2002
The Markov Blanket Bayesian Classifier is a recently-proposed algorithm for construction of probabilistic classifiers. This paper presents an empirical comparison of the MBBC algorithm with three other Bayesian classifiers: Naive Bayes, Tree-Augmented ...
Madden, Michael G.
core  

EXPLORING CONCUSSION RECOVERY THROUGH THE LENS OF THE FREE ENERGY PRINCIPLE AND MARKOV BLANKET THEORY

Annals of the Academy of Romanian Scientists Series on Biological Sciences
This paper delves into the application of the Free Energy Principle (FEP) and the concept of the Markov blanket in understanding the neurocognitive implications of concussion. The FEP, a unifying theory in neuroscience, posits that the brain functions to
Ioannis A. Mavroudis, A. Ciobîcă
semanticscholar   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Addiction as a Disruption of the Markov Blanket: A Hyper-Precision of Momentary Rewards Over Long-Term Adaptation

Global Journal of Addiction & Rehabilitation Medicine
This opinion piece proposes that addiction can be conceptualized as a disruption of an agent’s Markov blanket - the statistical boundary separating internal states from the external environment - under active inference.
Mahault Albarracin
semanticscholar   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 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, Lin Liu 0003, Jiuyong Li, Huanhuan Chen   +3 more
openaire   +4 more sources

Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome

Advanced Science, EarlyView.
We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu, Shuhao Chen, Yunheng Diao, Wei Wang, Yuanyuan Huang, Liqin Liang, Xiaodan Lu, Rui Han, Minxin Guo, Zhaobo Li, Shuhong Wang, Hehua Li, Chenyu Liu, Jing Zhou, Dongsheng Xiong, Xiaobo Li, Yuping Ning, Xuetao Shi, Fengchun Wu, Kai Wu   +19 more
wiley   +1 more source