
ABC
 Referenced in 299 articles
[sw10950]
 numerical function optimization: artificial bee colony (ABC) algorithm. Swarm intelligence is a research branch that ... example of swarm intelligence. Artificial Bee Colony (ABC) Algorithm is an optimization algorithm based ... honey bee swarm. In this work, ABC algorithm is used for optimizing multivariable functions ... results produced by ABC, Genetic Algorithm (GA), Particle Swarm Algorithm (PSO) and Particle Swarm Inspired...

abc
 Referenced in 51 articles
[sw14871]
 abc: Tools for Approximate Bayesian Computation (ABC). Implements several ABC algorithms for performing parameter estimation ... also available for measuring the accuracy of ABC estimates, and to calculate the misclassification probabilities...

ABC
 Referenced in 39 articles
[sw12910]
 ABC: An Academic IndustrialStrength Verification Tool. ABC is a publicdomain system for logic ... logic circuits appearing in synchronous hardware designs. ABC combines scalable logic transformations based ... improvements in both domains. This paper introduces ABC, motivates its development, and illustrates...

abcrf
 Referenced in 19 articles
[sw21308]
 package abcrf: ABC random forests for Bayesian parameter inference. Approximate Bayesian computation (ABC) has grown ... models associated with intractable likelihood functions. Most ABC implementations require the preliminary selection ... vector of interest. When compared with earlier ABC solutions, this method offers significant gains ... methodological proposal and compare it with earlier ABC methods on a Normal toy example...

GPSABC
 Referenced in 18 articles
[sw16117]
 ABC: Gaussian Process Surrogate Approximate Bayesian Computation. Scientists often express their understanding of the world ... extremely challenging. The Approximate Bayesian Computation (ABC) framework is the standard statistical tool to handle ... this work we develop two new ABC sampling algorithms that significantly reduce the number ... number of necessary simulations. Our GPSABC algorithm stores the information obtained from every simulation...

ABCSubSim
 Referenced in 14 articles
[sw10099]
 subset simulation. A new approximate Bayesian computation (ABC) algorithm for Bayesian updating of model parameters ... proposed in this paper, which combines the ABC principles with the technique of subset simulation ... been named ABCSubSim. The idea is to choose the nested decreasing sequence of regions ... challenges faced in realworld applications of ABC. We show that the proposed algorithm outperforms...

ABCSysBio
 Referenced in 8 articles
[sw24739]
 ABCSysBio: Approximate Bayesian Computation in Python with GPU support. MOTIVATION: The growing field ... RESULTS: Here we present a Python package, ABCSysBio, that implements parameter inference and model ... dynamical systems in an approximate Bayesian computation (ABC) framework. ABCSysBio combines three algorithms ... ABC rejection sampler, ABC SMC for parameter inference and ABC SMC for model selection...

hABCDE
 Referenced in 7 articles
[sw14869]
 algorithm and differential evolution. Artificial bee colony (ABC) algorithm is one of the most recent ... However, there is still an insufficiency in ABC regarding its solution search equation, which lacks ... solution. Inspired by gbestguided ABC (GABC), a new solution search equation with the direction ... also incorporated into the modified ABC in view of the fast convergence speed...

AABC
 Referenced in 7 articles
[sw16116]
 sets is computationally infeasible. Approximate Bayesian computation (ABC) methods perform inference on modelspecific parameters ... difficult. Central to the success of ABC methods is computationally inexpensive simulation of data sets ... parameters cannot be adequately sampled by ABC, inference is not straightforward. We present approximate approximate ... methods that extends simulationbased inference by ABC to models in which simulating data...

ABC
 Referenced in 7 articles
[sw09721]
 ABC: algebraic bound computation for loops. We present ABC, a software tool for automatically computing ... their greatest values. We have successfully applied ABC to a large number of examples...

ABCtoolbox
 Referenced in 11 articles
[sw08813]
 designed to perform Approximate Bayesian Computation (ABC) estimations using various recently published algorithms including MCMC...

cosmoabc
 Referenced in 6 articles
[sw20219]
 Carlo Approximate Bayesian Computation. Approximate Bayesian Computation (ABC) enables parameter inference for complex physical systems ... catalogues. Here we present cosmoabc, a Python ABC sampler featuring a Population Monte Carlo ... variation of the original ABC algorithm, which uses an adaptive importance sampling scheme. The code...

epiABC
 Referenced in 10 articles
[sw23334]
 paper we review recent Approximate Bayesian Computation (ABC) methods for the analysis of such data...

ABCpy
 Referenced in 5 articles
[sw29748]
 modular, scientific library for approximate Bayesian computation (ABC) written in Python. It is designed ... included ABC algorithms in parallel, either using multiple cores of a single computer or using ... modularity helps domain scientists to easily apply ABC to their research without being ABC experts ... parallelize their code. Further, ABCpy enables ABC experts to easily develop new inference schemes...

DIYABC
 Referenced in 9 articles
[sw21021]
 Software DIYABC (Do It Yourself ABC). DIYABC v2.0: a software to make approximate Bayesian computation...

abctools
 Referenced in 8 articles
[sw14870]
 package abctools: Tools for ABC Analyses. Tools for approximate Bayesian computation including summary statistic selection...

DGFTLE
 Referenced in 7 articles
[sw24965]
 NACA 65(1)412 airfoil and the ABC flow. The test cases show the efficacy...

ABC
 Referenced in 4 articles
[sw09004]
 ABC: a quantum reactive scattering program. This article describes a quantum mechanical reactive scattering program...

DRABC
 Referenced in 3 articles
[sw24742]
 ABC: Approximate Bayesian Computation with KernelBased Distribution Regression. Performing exact posterior inference in complex ... intractable likelihood function. Approximate Bayesian computation (ABC) is an inference framework that constructs an approximation ... quality of the posterior sample in ABC, there are only few principled generalpurpose approaches...

abcsde
 Referenced in 3 articles
[sw24744]
 abcsde: A MATLAB toolbox for Approximate Bayesian Computation (ABC) in stochastic differential equation models...