Cost function based on hidden Markov models for parameter estimation of chaotic systems
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3129-6
Abstract: In this note, we deal with parameter estimation methods of chaotic systems. The parameter estimation of the chaotic systems has some significant issues due to their butterfly effects. It can be formulated as an optimization… read more here.
Keywords: chaotic systems; parameter estimation; cost function;
Energy efficient cosine similarity measures according to a convex cost function
Sign Up to like & getrecommendations! Published in 2017 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-016-0949-7
Abstract: We propose a new family of vector similarity measures. Each measure is associated with a convex cost function. Given two vectors, we determine the surface normals of the convex function at the vectors. The angle… read more here.
Keywords: similarity; convex cost; similarity measures; function ... See more keywords
An efficient and globally optimal solution to perspective-n-line problem
Sign Up to like & getrecommendations! Published in 2021 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2021.01.028
Abstract: Abstract This research develops an accurate and efficient method for the Perspective-n-Line (PnL) problem. The developed method addresses and solves PnL via exploiting the problem’s geometry in a non-linear least squares fashion. Specifically, by representing… read more here.
Keywords: problem; cost function; globally optimal; perspective line ... See more keywords
A toxicity cost function approach to optimal CPA equilibration in tissues.
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DOI: 10.1016/j.cryobiol.2017.09.005
Abstract: There is growing need for cryopreserved tissue samples that can be used in transplantation and regenerative medicine. While a number of specific tissue types have been successfully cryopreserved, this success is not general, and there… read more here.
Keywords: equilibration; cpa equilibration; approach; toxicity cost ... See more keywords
A stochastic optimization approach to the aggregation of electric vehicles for the provision of ancillary services
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.1289
Abstract: Abstract We address the problem of the optimal management of an aggregate of electric vehicles (EVs) for the provision of ancillary services to the grid, by means of a bidirectional vehicle-to-grid (V2G) infrastructure. We consider… read more here.
Keywords: electric vehicles; cost function; ancillary services; stochastic optimization ... See more keywords
Stochastic optimization with randomized smoothing for image registration
Sign Up to like & getrecommendations! Published in 2017 at "Medical Image Analysis"
DOI: 10.1016/j.media.2016.07.003
Abstract: &NA; Image registration is typically formulated as an optimization process, which aims to find the optimal transformation parameters of a given transformation model by minimizing a cost function. Local minima may exist in the optimization… read more here.
Keywords: optimization; image registration; cost function;
A wavelet ridge extraction method employing a novel cost function in two-dimensional wavelet transform profilometry
Sign Up to like & getrecommendations! Published in 2018 at "AIP Advances"
DOI: 10.1063/1.5026425
Abstract: We present a new wavelet ridge extraction method employing a novel cost function in two-dimensional wavelet transform profilometry (2-D WTP). First of all, the maximum value point is extracted from two-dimensional wavelet transform coefficient modulus,… read more here.
Keywords: wavelet; ridge; cost function; wavelet ridge ... See more keywords
Optimum allocation in multivariate stratified sampling design in the presence of nonresponse with Gamma cost function
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1620747
Abstract: ABSTRACT In multivariate stratified sample survey with L strata, let p-characteristics are defined on each unit of the population. To estimate the unknown p-population means of each characteristic, a random sample is taken out from… read more here.
Keywords: presence nonresponse; multivariate stratified; allocation; optimum allocation ... See more keywords
Cost function network‐based design of protein‐protein interactions: predicting changes in binding affinity
Sign Up to like & getrecommendations! Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/bty092
Abstract: Motivation: Accurate and economic methods to predict change in protein binding free energy upon mutation are imperative to accelerate the design of proteins for a wide range of applications. Free energy is defined by enthalpic… read more here.
Keywords: protein; binding affinity; cost function; energy ... See more keywords
Cost-function embedding and dataset encoding for machine learning with parametrized quantum circuits
Sign Up to like & getrecommendations! Published in 2020 at "Physical Review A"
DOI: 10.1103/physreva.101.052309
Abstract: Machine learning is seen as a promising application of quantum computation. For near-term noisy intermediate-scale quantum (NISQ) devices, parametrized quantum circuits (PQCs) have been proposed as machine learning models due to their robustness and ease… read more here.
Keywords: machine learning; quantum; cost function;
Critical Jammed Phase of the Linear Perceptron.
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DOI: 10.1103/physrevlett.123.115702
Abstract: Criticality in statistical physics naturally emerges at isolated points in the phase diagram. Jamming of spheres is not an exception: varying density, it is the critical point that separates the unjammed phase where spheres do… read more here.
Keywords: jammed phase; cost function; phase linear; perceptron ... See more keywords