NeuralEngine A Game Engine with embeded Machine Learning algorithms based on Gaussian Processes. |

Private Attributes | List of all members
NeuralEngine::MachineLearning::GPModels::VFE::SGPR Class Reference

Sparse Gaussian Process Regression Model (SGPR) with optimization through Variational Free Energy (VFE). More...

`#include <FgVFESparseGPR.h>`

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## Private Attributes
double | dAlpha

## Detailed Description

Sparse Gaussian Process Regression Model (SGPR) with optimization through Variational Free Energy (VFE).

VFE for SGPRs integrates out the input variables and computes/maximizes a lower bound on the exact marginal. This avoids overfitting and enables approximations for not tractable integrals in deeper GP models.

For more information see, http://proceedings.mlr.press/v9/titsias10a/titsias10a.pdf https://www.repository.cam.ac.uk/handle/1810/273833

, 01.04.2019.

Definition at line 41 of file FgVFESparseGPR.h.

## Member Data Documentation

## ◆ dAlpha

double NeuralEngine::MachineLearning::GPModels::VFE::SGPR::dAlpha
| private

Definition at line 118 of file FgVFESparseGPR.h.

The documentation for this class was generated from the following file:

- FgVFESparseGPR.h