MODEL STRUCTURAL INFERENCE USING LOCAL DYNAMIC OPERATORS
نویسندگان
چکیده
منابع مشابه
A Model for Phylogenetic Inference Using Structural and Chemical Covariates
We investigated whether or not evolutionary change in DNA sequence data was homogeneous across different classes of base pairs. DNA sequences for eight protein-coding mitochrondrial genes were obtained for 38 vertebrate taxa from GenBank. Each nucleotide site in the alignment was classified according to a number of covariates, including its codon position, genetic code degeneracy, and hydrophob...
متن کاملStructural inference using nonlinear dynamics
Network inference methods are widely used to study regulatory interplay in biological systems. Such methods are usually based on simple, often linear, approximations to underlying dynamics. We present a network inference methodology that is rooted in nonlinear biochemical kinetics. This is done by considering a dynamical system that depends on a reaction graph, summarizing all biochemical react...
متن کاملGeneralized local operators between function modules
Let X be a compact Hausdorff space, E be a normed space, A(X,E) be a regular Banach function algebra on X , and A(X,E) be a subspace of C(X,E) . In this paper, first we introduce the notion of localness of an additive map S:A(X,E) → C(X,E) with respect to additive maps T1,...,Tn: A(X) → C(X) and then we characterize the general form of such maps for a certain class of subspaces A(X,E) of C(...
متن کاملEfficient local transformation estimation using Lie operators
Conventional translation-only motion estimation algorithms cannot cope with transformations of objects such as scaling, rotations and deformations. Motion models characterizing non-translation motions are thus beneficial as they offer more accurate motion estimation and compensation. In this paper, we introduce low-complexity transformation estimation methods with four motion models based on Li...
متن کاملAutomatic Generation of Feedforward Controllers Using Dynamic Local Model Networks
A new approach for the automatic generation of a dynamic feedforward control law for nonlinear dynamic systems represented by discrete-time local model networks (LMN) is proposed. The generic model structure of LMNs offers the opportunity to apply such a general and automated approach for model inversion, even when the overall model complexity may be high. LMNs can represent nonlinear dynamic s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal for Uncertainty Quantification
سال: 2019
ISSN: 2152-5080
DOI: 10.1615/int.j.uncertaintyquantification.2019025828