Surrogate-Assisted Tuning
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Updated
Mar 19, 2016 - MATLAB
Surrogate-Assisted Tuning
Spearmint integrated Bayesian Optimization for hyper parameter tuning of Auto sparse encoder embedded with softmax Classifier for MNIST digit Classification.
Particle filter-based Gaussian process optimisation for parameter inference
Implementation of a Bayesian approach to cryo-EM structure determination
Gaussian-Process Surrogate Optimisation
Bayesian Optimization of Combinatorial Structures
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Repository for my course projects in I.I.T Kanpur
Bayesian Statistics Guide
Python implementation of Bayesian optimization over permutation spaces.
Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis
A Matlab toolbox for Bayesian optimization.
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
GPstuff - Gaussian process models for Bayesian analysis
Data for the Quantitative Single-Neuron Modeling Competition (2007).
TEVC'2010, MOEA/D with Gaussian Process model
Tutorial covering group DCM analyses of fMRI and M/EEG
standard, parallel, constrained, and multiobjective EGO algorithms
Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.
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