An introduction to restricted Boltzmann machines

TY - GEN

T1 - An introduction to restricted Boltzmann machines

AU - Fischer, Asja

AU - Igel, Christian

N1 - Conference code: 17

PY - 2012

Y1 - 2012

N2 - Restricted Boltzmann machines (RBMs) are probabilistic graphical models that can be interpreted as stochastic neural networks. The increase in computational power and the development of faster learning algorithms have made them applicable to relevant machine learning problems. They attracted much attention recently after being proposed as building blocks of multi-layer learning systems called deep belief networks. This tutorial introduces RBMs as undirected graphical models. The basic concepts of graphical models are introduced first, however, basic knowledge in statistics is presumed. Different learning algorithms for RBMs are discussed. As most of them are based on Markov chain Monte Carlo (MCMC) methods, an introduction to Markov chains and the required MCMC techniques is provided.

AB - Restricted Boltzmann machines (RBMs) are probabilistic graphical models that can be interpreted as stochastic neural networks. The increase in computational power and the development of faster learning algorithms have made them applicable to relevant machine learning problems. They attracted much attention recently after being proposed as building blocks of multi-layer learning systems called deep belief networks. This tutorial introduces RBMs as undirected graphical models. The basic concepts of graphical models are introduced first, however, basic knowledge in statistics is presumed. Different learning algorithms for RBMs are discussed. As most of them are based on Markov chain Monte Carlo (MCMC) methods, an introduction to Markov chains and the required MCMC techniques is provided.

U2 - 10.1007/978-3-642-33275-3_2

DO - 10.1007/978-3-642-33275-3_2

M3 - Article in proceedings

SN - 978-3-642-33274-6

T3 - Lecture notes in computer science

SP - 14

EP - 36

BT - Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

A2 - Alvarez, Luis

A2 - Mejail , Marta

A2 - Gomez, Luis

A2 - Jacobo , Julio

PB - Springer

T2 - 17th Iberoamerican Congress on Pattern Recognition

Y2 - 3 September 2012 through 6 September 2012

ER -