Investigations into the use of quantified Bayesian Maximum Entropy methods to generate improved distribution maps and biomass estimates from fisheries acoustic survey data [PDF]
, 2008 This thesis describes elements of the assessment and application of Bayesian Maximum Entropy (MaxEnt) image reconstruction techniques for the analysis of fisheries acoustic survey data.
Heywood, Ben G.
core
Probabilistic Inference for Dynamical Systems
Entropy, 2018 A general framework for inference in dynamical systems is described, based on the language of Bayesian probability theory and making use of the maximum entropy principle.
Sergio Davis +2 more
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Again on the Maximum-Entropy Principle [PDF]
, 2013 The maximum-entropy principle has recently been discussed in this journal by R.Rosa. The present note stresses a few points made or touched upon there.
Sempi, Carlo
core +1 more source
Maximum Entropy Probability Density Principle in Probabilistic Investigations of Dynamic Systems
Entropy, 2018 In this study, we consider a method for investigating the stochastic response of a nonlinear dynamical system affected by a random seismic process. We present the solution of the probability density of a single/multiple-degree of freedom (SDOF/MDOF ...
Jiří Náprstek, Cyril Fischer
doaj +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Logic of science and maximum entropy principle [PDF]
, 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
core
Stochastic Reorder Point-Lot Size (r,Q) Inventory Model under Maximum Entropy Principle
Entropy, 2015 This paper takes into account the continuous-review reorder point-lot size (r,Q) inventory model under stochastic demand, with the backorders-lost sales mixture.
Davide Castellano
doaj +1 more source
Heterotropic regulation and negative homotropic cooperativity
FEBS Open Bio, EarlyView.We identified a structural module common to some proteins that couple negative cooperativity with heterotropic regulation, two features that rarely coexist. These proteins are ring‐like and present an ordered asymmetry whereby noncontacting subunits are symmetric, and their tertiary structure differs from that of contacting subunits.
Veronica Morea +5 more
wiley +1 more source
A maximum entropy principle for contractive interpolants [PDF]
, 1986 In this paper a maximum entropy principle is established for a class of continuous contractive m × n matrix valued functions g with preassigned Fourier coefficients gj = γj for j = 0, 1,….
Harry Dym +3 more
core +1 more source