Results 91 to 100 of about 103,187 (313)

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Intrusion detection method based on Bayesian and decision tree

Gong-kuang zidonghua, 2013
In view of problems of low detection rate and high false detection rate in intrusion detection method based on Bayesian or decision tree, the paper proposed an intrusion detection method based on Bayesian and decision tree. Firstly, Naive Bayesian method
CHI Jing, YANG Zhen-yu, ZHANG Ting
doaj  

Augmenting Naïve Bayes Classifiers with k-Tree Topology

Mathematics
The Bayesian network is a directed, acyclic graphical model that can offer a structured description for probabilistic dependencies among random variables.
Fereshteh R. Dastjerdi, Liming Cai
doaj   +1 more source

Cover Tree Bayesian Reinforcement Learning

CoRR, 2013
This paper proposes an online tree-based Bayesian approach for reinforcement learning. For inference, we employ a generalised context tree model. This defines a distribution on multivariate Gaussian piecewise-linear models, which can be updated in closed form. The tree structure itself is constructed using the cover tree method, which remains efficient
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas   +2 more
openaire   +3 more sources

Bayesian Species Delimitation Can Be Robust to Guide-Tree Inference Errors [PDF]

, 2014
distribution, and reproduction in any medium, provided the original work is properly ...
Rannala, B, Chi Zhang, Yang, Ziheng, Bruce Rannala, Zhang, C, Yang, Z, Ziheng Yang, Zhang, Chi,, Rannala, Bruce   +8 more
core   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Investigation of Bayesian network for reliability analysis and fault diagnosis of complex systems with real case applications

Advances in Mechanical Engineering, 2017
Reliability is critical for complex engineering systems. Traditionally, reliability analysis and fault diagnosis of complex engineering systems is based on reliability block diagram and fault tree.
Shen Chen, Zhen Qi, Dehuai Chen, Liangfu Guo, Weiwen Peng   +4 more
doaj   +1 more source

Bayesian phylogenetic tree reconstruction. [PDF]

, 2012
Bayesian phylogenetic tree reconstruction using mitochondrial control region haplotypes. Bayesian posterior probability (≥ 75%) are shown. Coloured branches represent haplogroups (red = A1, blue = A2, green = A3).
Paul J. Wilson (109425), Cornelya F. C. Klütsch (109418), Micheline Manseau (109422)   +2 more
core   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Estimation of biomass in various components of Pinus koraiensis based on Bayesian methods

Frontiers in Forests and Global Change
IntroductionPinus koraiensis is a dominant tree species in northeastern China. Estimating its biomass is required for forest carbon stock monitoring and accounting.MethodsThis study investigates biomass estimation methods for P. koraiensis components.
Hui Liu, Xibin Dong, Ying Zhang, Hangfeng Qu, Hangfeng Qu, Yunze Ren, Baoshan Zhang, Tong Gao   +7 more
doaj   +1 more source