Deep-FS: a feature selection algorithm for Deep Boltzmann Machines

Deep-FS: a feature selection algorithm for Deep Boltzmann Machines

A Deep Boltzmann Machine is a model of a Deep Neural Network formed from multiple layers of neurons with nonlinear activation functions. The structure of a Deep Boltzmann Machine enables it to learn very complex relationships between features and facilitates advanced performance in learning of high-...

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Bibliographic Details
Main Authors: Aboozar Taherkhani, Georgina Cosma, TM McGinnity
Format: Default Article
Published: 2018
Subjects:
Deep Boltzmann Machine
Deep learning
Deep Neural Networks
Feature selection
Restricted Boltzmann Machine
Generative models
Missing features
Online Access:https://hdl.handle.net/2134/13476834.v1
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https://hdl.handle.net/2134/13476834.v1

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