Results 71 to 80 of about 1,530,540 (307)
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 +3 more
wiley +1 more source
RJHMC-Tree for Exploration of the Bayesian Decision Tree Posterior
Bayesian AnalysisDecision trees have found widespread application within the machine learning community due to their flexibility and interpretability. This paper is directed towards learning decision trees from data using a Bayesian approach, which is challenging due to the potentially enormous parameter space required to span all tree models.
Jodie A. Cochrane +2 more
openaire +3 more sources
Bayesian Learning of Clique Tree Structure
CoRR, 2017 The problem of categorical data analysis in high dimensions is considered. A discussion of the fundamental difficulties of probability modeling is provided, and a solution to the derivation of high dimensional probability distributions based on Bayesian learning of clique tree decomposition is presented.
Cetin Savkli +3 more
openaire +2 more sources
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 +8 more
wiley +1 more source
Bayesian mixture modelling and inference based Thompson sampling in Monte-Carlo tree search
, 2013 Monte-Carlo tree search is drawing great interest in the domain of planning under uncertainty, particularly when little or no domain knowledge is available. One of the central problems is the trade-off between exploration and exploitation.
Wu, Feng, Bai, Aijun, Chen, Xiaoping
core +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
MathematicsThe 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 +2 more
openaire +3 more sources
The Rowan Tree Church 1995-1996 Annual Report [PDF]
, 1995 This digital asset was created from the original digital scans by Rev. Paul V. Beyerl and provided to the Valdosta State University, Archives & Special Collections to be part of their Rowan Tree Church Periodicals Collection of the New Age Movements ...
Rowan Tree Church
core
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source