Skip to content

Techniques included

Gustavo Rosa edited this page Feb 24, 2017 · 9 revisions

In this package, we have the following techniques:

Restricted Boltzmann Machines
  • Standard RBMs
  • Tensor RBMs
  • Gaussian RBMs
  • Dropout RBMs
  • Dropout Gaussian RBMs
  • Dropconnect RBMs
  • Discriminative RBMs
  • Dropout Discriminative RBMs
  • Gaussian Discriminative RBMs
  • Dropout Gaussian Discriminative RBMs
Deep Boltzmann Machines
  • Standard DBMs
  • Tensor DBMs
  • Dropout DBMs
  • Dropconnect DBMs
Deep Belief Networks
  • Standard DBNs
  • Tensor DBNs
  • Dropout DBNs
  • Dropconnect DBNs
Enhanced Probabilistic Neural Networks
  • EPNN with OPF classification and optimization
Optimum-Path Forest
  • OPF clustering with optimization
  • OPF-knn with optimization
  • OPF pruning with optimization
Feature Selection
  • Combinatorial OPF
  • Feature Selection with OPF classification
  • Feature Selection with Hamming distance
Linear Regression
  • Standard Linear Regression
Logistic Regression
  • Standard Logistic Regression

All references and further information can be found at: https://github.com/jppbsi/LibOPF/wiki and https://github.com/jppbsi/LibDEEP/wiki