Results 111 to 120 of about 3,290,751 (273)
Generalized maximum entropy (GME) estimator: formulation and a monte carlo study [PDF]
The origin of entropy dates back to 19th century. In 1948, the entropy concept as a measure of uncertainty was developed by Shannon. A decade after in 1957, Jaynes formulated Shannon’s entropy as a method for estimation and inference particularly for ill-
Eruygur, H. Ozan
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Advanced Engineering Materials, EarlyView.Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Estimating income mobility in Colombia using maximum entropy econometrics.: [PDF]
Income mobility can be viewed as a first-order Markov process, with a matrix of transition probabilities which measure how individuals move from an income status in time t to a new status in time t+1. Direct estimation of transition matrices is difficult,
Morley, Samuel +2 more
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New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Logic of science and maximum entropy principle
, 2010 碩士當我們處理問題時，運用不同的分析方法會得到不同的結果。因此該運用何種方法做數據分析才符合科學邏輯？關於這個問題貝葉斯定理能夠給予我們一個滿意的答案；面對一問題時由已有的資訊（X）建立假說（H），再經由實驗取得數據（D）驗證假說是否成立。 然而該如何從已知的資訊建立一合理的假說就需要透過信息熵與最大熵原理的協助。薛農（Claude Elwood Shannon April 30, 1916 – February 24, 2001 ）於1948年提出了信息熵的概念來描述一事件本身的不確定度 ...
吳俊安; Wu, Chun-an
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Advanced Engineering Materials, EarlyView.In situ synchrotron high‐energy X‐ray diffraction reveals the real‐time high‐temperature phase evolution of a ternary V‐9Si‐6.5B alloy. The study uncovers a kinetically delayed V5SiB2 → V8SiB4 transformation governed by massive structural and chemical barriers.
Zahra Sabeti +4 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
Analysis of temporal correlation in heart rate variability through maximum entropy principle in a minimal pairwise glassy model. [PDF]
Sci Rep, 2020 Agliari E +6 more
europepmc +1 more source
Multicollinearity and maximum entropy leuven estimator [PDF]
Multicollinearity is a serious problem in applied regression analysis. Q. Paris (2001) introduced the MEL estimator to resolve the multicollinearity problem.
Sougata Poddar
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