Results 71 to 80 of about 2,902,077 (302)
Contrastive Entropy Bounds for Density and Conditional Density Decomposition
CoRRThis paper studies the interpretability of neural network features from a Bayesian Gaussian view, where optimizing a cost is reaching a probabilistic bound; learning a model approximates a density that makes the bound tight and the cost optimal, often with a Gaussian mixture density.
Bo Hu, José C. Príncipe
openaire +3 more sources
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
Filtering for jump-diffusion models by statistical modeling method
Научный вестник МГТУ ГА, 2016 This article develops new methods that reduce the optimal filtering problem for jump-diffusion models to the analysis problem for the special stochastic system with jumps, branching and terminating trajectories. Earlier appropriate methods and algorithms
K. A. Rybakov
doaj
Nonparametric Tests for Conditional Symmetry in Dynamic Models [PDF]
, 2007 This article proposes omnibus tests for conditional symmetry around a parametric function in a dynamic context. Conditional moments may not exist or may depend on the explanatory variables.
Delgado, Miguel A. +1 more
core +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
Regularized non-parametric multivariate density and conditional density estimation
2010 IEEE Conference on Multisensor Fusion and Integration, 2010 In this paper, a distance-based method for both multivariate non-parametric density and conditional density estimation is proposed. The contributions are the formulation of both density estimation problems as weight optimization problems for Gaussian mixtures centered about samples with identical parameters.
Krauthausen, Peter, Hanebeck, Uwe D.
openaire +5 more sources
Mixed normal conditional heteroskedasticity [PDF]
, 2002 Both unconditional mixed-normal distributions and GARCH models with fat-tailed conditional distributions have been employed for modeling financial return data.
Mittnik, Stefan +2 more
core
Conditional stochastic dominance tests in dynamic settings [PDF]
, 2014 This paper proposes nonparametric consistent tests of conditional stochastic dominance of arbitrary order in a dynamic setting. The novelty of these tests lies in the nonparametric manner of incorporating the information set.
Jose Olmo +5 more
core +1 more source
Advanced Engineering Materials, EarlyView.This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley +1 more source
A Duality Result for the Generalized Erlang Risk Model
Risks, 2014 In this article, we consider the generalized Erlang risk model and its dual model. By using a conditional measure-preserving correspondence between the two models, we derive an identity for two interesting conditional probabilities.
Lanpeng Ji, Chunsheng Zhang
doaj +1 more source