A lattice Boltzmann equation method for real fluids with the equation of state known in tabular form only in regions of liquid and vapor phases

Source URL: ancient.hydro.nsc.ru

Stochastic Spectral Descent for Restricted Boltzmann Machines David Carlson1 Volkan Cevher2 Lawrence Carin1 1

Source URL: jmlr.org

Training Restricted Boltzmann Machines using Approximations to the Likelihood Gradient Tijmen Tieleman Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada

Source URL: www.cs.utoronto.ca

An Optimizing Code Generator for a Class of Lattice-Boltzmann Computations A THESIS SUBMITTED FOR

Source URL: mcl.csa.iisc.ernet.in

Gaussian Measures and the QM Oscillator Sabrina Gonzalez Pasterski (Dated: April 20, 2014) In this paper, I show how probability densities associated with a Gaussian field can be expressed in terms of the Boltzmann heat

Source URL: physicsgirl.com

arXiv:1402.3337v2 [stat.ML] 10 NovZero-bias autoencoders and the benefits of co-adapting features Roland Memisevic

Source URL: arxiv.org

• Artificial neural networks
• Machine learning
• Learning
• Artificial intelligence
• Unsupervised learning
• Autoencoder
• Computational neuroscience
• Computational statistics
• Feature learning
• Rectifier
• Restricted Boltzmann machine
• Supervised learning

LEARNING A BETTER REPRESENTATION OF SPEECH SOUND WAVES USING RESTRICTED BOLTZMANN MACHINES Navdeep Jaitly, Geoffrey Hinton Department of Computer Science, University of Toronto, Toronto, M5S 3G4, Canada ABSTRACT State of

Source URL: www.cs.toronto.edu

Listening With Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines Chao Sui, Mohammed Bennamoun School of Computer Science and Software Engineering University of Western Australi

Source URL: www.cv-foundation.org

• Artificial neural networks
• Applied mathematics
• Human communication
• Artificial intelligence
• Computational neuroscience
• Computational linguistics
• Deep learning
• Perception
• Speech recognition
• Lip reading
• Multimodal learning
• DBm

Lattice Boltzmann Hybrid Auto-Tuning on High-End Computational Platforms Sam Williams Lawrence Berkeley National Laboratory In this work we examine a hybrid threading/MPI tuning scheme that challenges

Source URL: vecpar.fe.up.pt

Selected as Best Paper in Application Track, IPDPS 2008, April 14-28, Miami, Florida, USA Lattice Boltzmann Simulation Optimization on Leading Multicore Platforms Samuel Williams?† , Jonathan Carter? , Leonid Oliker?

Source URL: cscads.rice.edu