Journal of Machine Learning Research669 Submitted 6/11; Revised 11/11; Published 3/12 Learning Algorithms for the Classification Restricted Boltzmann Machine

Source URL: info.usherbrooke.ca

An Infinite Restricted Boltzmann Machine arXiv:1502.02476v4 [cs.LG] 18 Mar 2016 Marc-Alexandre Cˆ ot´ e1 , Hugo Larochelle1

Source URL: arxiv.org

Autonomous Fault Detection in Self-Healing Systems using Restricted Boltzmann Machines Chris Schneider School of Computer Science University of St Andrews Scotland, UK

Source URL: www.adambarker.org

• Computing
• Software
• System software
• Network management
• Artificial intelligence
• Systems engineering
• System administration
• Windows Management Instrumentation
• Autonomic computing
• Fault injection
• Fault detection and isolation
• Restricted Boltzmann machine

Kleinetal2012NCPW_revision.dvi

Source URL: www.stefanfrank.info

• Artificial neural networks
• Learning
• Artificial intelligence
• Applied mathematics
• Perceptron
• Multilayer perceptron
• Restricted Boltzmann machine
• Backpropagation
• Pattern recognition
• Boltzmann machine
• Delta rule
• Supervised learning

Published in Proc. of International Joint Conference on Neural Networks (IJCNNin Barcelona, Spain Topological Features in Locally Connected RBMs Andreas M¨uller, Hannes Schulz, and Sven Behnke Abstract— Unsupe

Source URL: amueller.github.io

• Artificial neural networks
• Artificial intelligence
• Computational neuroscience
• Cybernetics
• Applied mathematics
• Machine learning
• Formal sciences
• Deep learning
• Convolutional neural network
• Feature learning
• Restricted Boltzmann machine
• Boltzmann machine

Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development Diane J. Hu1 , Laurens van der Maaten1,2 , Youngmin Cho1 , Lawrence K. Saul1 , Sorin Lerner1 1 Dept. of Computer Science & Engin

Source URL: lvdmaaten.github.io

• Software
• Probability
• Statistics
• Archive formats
• Dimension reduction
• Principal component analysis
• Mixture model
• Apache Subversion
• Markov chain
• Restricted Boltzmann machine
• Version control
• Tar

Deep Learning in Partially-labeled Data Streams Jesse Read Aalto University and HIIT Helsinki, Finland Fernando Perez-Cruz

Source URL: users.ics.aalto.fi

• Machine learning
• Learning
• Artificial intelligence
• Artificial neural networks
• Statistical classification
• Data mining
• Deep learning
• K-nearest neighbors algorithm
• Multi-label classification
• Deep belief network
• Restricted Boltzmann machine
• Concept drift

arXiv:1506.00019v4 [cs.LG] 17 OctA Critical Review of Recurrent Neural Networks for Sequence Learning Zachary C. Lipton

Source URL: arxiv.org

• Artificial neural networks
• Cybernetics
• Applied mathematics
• Machine learning
• Recurrent neural network
• Deep learning
• Feedforward neural network
• Long short-term memory
• Convolutional neural network
• Backpropagation
• Connectionism
• Restricted Boltzmann machine

In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, 2010 Exploiting Local Structure in Stacked Boltzmann Machines Hannes Schulz, Andreas M¨ ul

Source URL: amueller.github.io

• Artificial neural networks
• Statistics
• Probability
• Statistical models
• Machine learning
• Artificial intelligence
• Computational neuroscience
• Restricted Boltzmann machine
• Boltzmann machine
• Feature learning
• Deep belief network
• Convolutional neural network

Artificial Neural Networks Martin Anthony Abstract ‘Artificial neural networks’ are machines (or models of computation) based loosely on the ways in which the brain is believed to work. In this chapter, we discuss so

Source URL: www.maths.lse.ac.uk

• Artificial neural networks
• Feedforward neural network
• Perceptron
• Boltzmann machine
• Backpropagation
• Supervised learning
• Artificial neuron
• Restricted Boltzmann machine
• Deep learning