Results 111 to 120 of about 32,653 (280)
Learning Mixture Models with the Latent Maximum Entropy Principle [PDF]
, 2003 We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME).
Fuchun Peng +7 more
core +1 more source
Speed Gradient and MaxEnt Principles for Shannon and Tsallis Entropies
Entropy, 2015 In this paper we consider dynamics of non-stationary processes that follow the MaxEnt principle. We derive a set of equations describing dynamics of a system for Shannon and Tsallis entropies. Systems with discrete probability distribution are considered
Alexander L. Fradkov, Dmitry S. Shalymov
doaj +1 more source
Bayesian Inference and the Principle of Maximum Entropy
The American StatisticianBayes' theorem incorporates distinct types of information through the likelihood and prior. Direct observations of state variables enter the likelihood and modify posterior probabilities through consistent updating. Information in terms of expected values of state variables modify posterior probabilities by constraining prior probabilities to be ...
Foley, Duncan K., Scharfenaker, Ellis
openaire +3 more sources
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
On the Maximum-Entropy Approach to Random Graphs [PDF]
openOne issue in network modelling is describing the properties of a real-world network from the partial information available. In this thesis, we present the maximum-entropy principle as a criterion to determine the probability distribution associated ...
DONNO, ALICE LIBERA
core
Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Principle of maximum entropy in the estimation of suspended sediment concentration
RBRHThe concern with water quality has been promoting development of better monitoring and control techniques every day. As sediments transport most of water contaminants, their study is fundamental.
Patrícia Diniz Martins +1 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Boltzmann Machine Learning with the Latent Maximum Entropy Principle [PDF]
, 2007 We present a new statistical learning paradigm for Boltzmann machines based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is dierent both from Jaynes' maximum entropy principle and from standard
Fuchun Peng +3 more
core
Fatigue Crack Initiation and Growth in Nanocrystalline Ni at Multiple Length‐Scales
Advanced Engineering Materials, EarlyView.Overview of miniaturized in situ SEM fatigue setup and resultant fatigue crack growth data for nanocrystalline Ni. The presented study focuses on the analysis of fatigue crack growth rate (FCGR) in focused ion beam‐notched microcantilevers prepared from nanocrystalline (NC) Ni as a model material.
Igor Moravcik +7 more
wiley +1 more source