Results 121 to 130 of about 348,082 (329)

Collective animal behavior from Bayesian estimation and probability matching.

PLoS Computational Biology, 2011
Animals living in groups make movement decisions that depend, among other factors, on social interactions with other group members. Our present understanding of social rules in animal collectives is mainly based on empirical fits to observations, with ...
Alfonso Pérez-Escudero, Gonzalo G de Polavieja   +1 more
doaj   +1 more source

Bayesian Model Averaging Using the k-best Bayesian Network Structures [PDF]

arXiv, 2012
We study the problem of learning Bayesian network structures from data. We develop an algorithm for finding the k-best Bayesian network structures. We propose to compute the posterior probabilities of hypotheses of interest by Bayesian model averaging over the k-best Bayesian networks.
arxiv  

A Bayesian probability approach to predicting student performance in introductory computer science courses [PDF]

, 1989
Diana Wiig
openalex   +1 more source

Advancements in Machine Learning for Microrobotics in Biomedicine

Advanced Intelligent Systems, EarlyView.
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi, Soleiman Hosseinpour, Nasrollah Tabatabaei, Mahmoud Soltani Firouz, Niloufar Zadebana, Richard Nauber, Mariana Medina‐Sánchez   +6 more
wiley   +1 more source

Analysis of Gas Pipeline Failure Factors Based on the Novel Bayesian Network by Machine Learning Optimization

IEEE Access
Assessing the failure of urban gas pipelines is crucial for identifying risk factors and preventing gas accidents that result in economic losses and casualties.
Shuangqing Chen, Shun Zhou, Zhe Xu, Yongbin Liu, Bing Guan, Xiaoyu Jiang, Wencheng Li   +6 more
doaj   +1 more source

QUANTUM MECHANICS AS BAYESIAN COMPLEX PROBABILITY THEORY [PDF]

, 1994
S. Youssef
openalex   +1 more source

Deep Learning‐Coupled Metabolic Heat Integrated Sensing System for Noninvasive Continuous Monitoring of Blood Glucose

Advanced Intelligent Systems, EarlyView.
A portable, wearable device based on metabolic heat integrated sensing and deep learning enables continuous blood glucose (BG) monitoring. The system uses a gate recurrent unit model for real‐time BG prediction, achieving accuracy comparable to commercial noninvasive meters.
Haolin Wang, Chuanjie Yao, Zhibo Liu, Xinze Wang, Zhengjie Liu, Tao Zhang, Xinshuo Huang, LinGe Wang, Yuedan Wang, Gemin Xiao, Shady Farah, Hui‐jiuan Chen, Xi Xie   +12 more
wiley   +1 more source

lrSVD: An efficient imputation algorithm for incomplete high‐throughput compositional data

Journal of Chemometrics, Volume 36, Issue 12, December 2022., 2022
Abstract Compositional methods have been successfully integrated into the chemometric toolkit to analyse and model different types of data generated by modern high‐throughput technologies. Within this compositional framework, the focus is put on the relative information conveyed in the data by using log‐ratio coordinate representations.
Javier Palarea‐Albaladejo, Josep Antoni Martín‐Fernández, Anne Ruiz‐Gazen, Christine Thomas‐Agnan   +3 more
wiley   +1 more source

Human online adaptation to changes in prior probability.

PLoS Computational Biology, 2019
Optimal sensory decision-making requires the combination of uncertain sensory signals with prior expectations. The effect of prior probability is often described as a shift in the decision criterion. Can observers track sudden changes in probability?
Elyse H Norton, Luigi Acerbi, Wei Ji Ma, Michael S Landy   +3 more
doaj   +1 more source

Parametric structure of probabilities in Bayesian networks [PDF]

, 1995
Enrique Castillo, José Manuel Gutiérrez, Ali S. Hadi   +2 more
openalex   +1 more source