Using Compiler Techniques to Improve Automatic Performance Modeling Arnamoy Bhattacharyya, Grzegorz Kwasniewski, Torsten Hoefler Department of Computer Science ETH Zurich Zurich, Switzerland Email: arnamoyb, grzegorz.kwa

Source URL: htor.inf.ethz.ch

• Computational neuroscience
• Artificial neural network
• Mathematical psychology
• Analysis of algorithms
• Mathematical model

192 Genome Informatics 16(1): 192–Prediction of Debacle Points for Robustness of Biological Pathways by Using Recurrent Neural Networks

Source URL: www.jsbi.org

• Biology
• Cell biology
• Artificial neural networks
• Cell signaling
• Artificial intelligence
• Recurrent neural network
• Computational statistics
• Petri net
• Backpropagation through time
• Apoptosis
• Signal transduction

Information-Theoretic Teleodynamics in Natural and Artificial Systems∗ Anthony F. Beavers and Christopher D. Harrison The University of Evansville

Source URL: faculty.evansville.edu

• Theoretical computer science
• Philosophy of thermal and statistical physics
• Formal sciences
• Artificial neural network
• Mathematical psychology
• Philosophy of information
• Entropy
• Information
• Computability
• Natural computing
• Algorithm
• Complexity

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 8, NO. 1, JANUARYAn Intelligent Contraflow Control Method for Real-Time Optimal Traffic Scheduling Using Artificial Neural Network, Fuzzy Pattern Recogniti

Source URL: nacto.org

Structural Learning for Web Design Maxine Lim Arvind Satyanarayan Cesar Torres Stanford University, Stanford, CAUSA

Source URL: cs229.stanford.edu

• Artificial neural networks
• Computational neuroscience
• Artificial intelligence
• Computational statistics
• Applied mathematics
• Cybernetics
• Mathematical psychology
• Recursive neural network
• Label
• Neuroscience

In: Neural Information Processing, ICONIP2001 Proceedings, Fudan University Press, Shanghai 2001, Vol 2, ppA framework for solving functional equations with neural networks Lars Kindermann1

Source URL: reglos.de

• Mathematical analysis
• Mathematics
• Dynamical systems
• Functional equations
• Differential calculus
• Multivariable calculus
• Iterated function
• Equation solving
• Equation
• Implicit function
• Artificial neural network
• Nonlinear system

A SUMMARY OF THE 2012 JHU CLSP WORKSHOP ON ZERO RESOURCE SPEECH TECHNOLOGIES AND MODELS OF EARLY LANGUAGE ACQUISITION Aren Jansen,1 Emmanuel Dupoux,2 Sharon Goldwater, 3 Mark Johnson,4 Sanjeev Khudanpur,1 Kenneth Church,

Source URL: www.lscp.net

• Computational linguistics
• Speech recognition
• Machine learning
• Natural language processing
• Computational neuroscience
• Acoustic model
• Pattern recognition
• Image segmentation
• Artificial neural network
• Speech perception
• Language model
• N-gram

A Clockwork RNN arXiv:1402.3511v1 [cs.NE] 14 Feb 2014 Jan Koutn´ık Klaus Greff

Source URL: arxiv.org

• Artificial neural networks
• Machine learning
• Artificial intelligence
• Applied mathematics
• Recurrent neural network
• Long short-term memory
• Deep learning
• Vanishing gradient problem
• Speech recognition
• Handwriting recognition
• Backpropagation
• Artificial neuron

arXiv:1506.02216v3 [cs.LG] 19 JunA Recurrent Latent Variable Model for Sequential Data Junyoung Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel∗, Aaron Courville, Yoshua Bengio†

Source URL: arxiv.org

• Statistics
• Probability
• Artificial neural networks
• Machine learning
• Statistical models
• Markov models
• Artificial intelligence
• Computational statistics
• Recurrent neural network
• Deep learning
• Long short-term memory
• Autoencoder

Sparse Online Learning via Truncated Gradient John Langford Yahoo! Research

Source URL: hunch.net

• Machine learning
• Computational statistics
• Convex optimization
• Mathematical optimization
• Statistical classification
• Support vector machine
• Stochastic gradient descent
• Lasso
• Vowpal Wabbit
• Least squares
• Artificial neural network
• Gradient descent