cvjena / activeLearning-GP
This repo contains active learning query strategies as introduced in our GCPR 2013 paper.
☆12Updated 11 years ago
Alternatives and similar repositories for activeLearning-GP:
Users that are interested in activeLearning-GP are comparing it to the libraries listed below
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆49Updated 9 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆138Updated 7 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆73Updated 3 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆45Updated 8 years ago
- Recursive importance sampling for Nyström kernel matrix approximation☆14Updated 7 years ago
- An integrated software package for Industrial process monitoring and fault detection☆14Updated 6 years ago
- Deep Gaussian Processes in matlab☆92Updated 3 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 8 years ago
- Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.☆28Updated 7 years ago
- Multi-output Least-Squares Support Vector Regressor☆55Updated 6 years ago
- Matlab Toolbox for Dimensionality Reduction☆34Updated 10 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆72Updated 3 years ago
- Infinite Gaussian Mixture Model / Variational EM☆12Updated 11 years ago
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal☆27Updated 7 years ago
- code for "Efficient Optimization for Sparse Gaussian Process Regression"☆21Updated 11 years ago
- Local Receptive Fields Based Extreme Learning Machine☆30Updated 9 years ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆22Updated 5 years ago
- Feature Selection and Extraction☆19Updated 9 years ago
- Multi-output Gaussian process regression via multi-task neural network☆14Updated 5 years ago
- Lynx Matlab Toolbox☆23Updated 8 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Updated 10 years ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Updated 5 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- The code for Principal Component Analysis (PCA), dual PCA, Kernel PCA, Supervised PCA (SPCA), dual SPCA, and Kernel SPCA☆23Updated last year
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆14Updated 6 years ago
- Gaussian Process Regression using GPML toolbox☆35Updated 5 years ago