Neural Networks, 14(3):7-24, AprilInvited article) Bayesian Approach for Neural Networks – Review and Case Studies Jouko Lampinen and Aki Vehtari Laboratory of Computational Engineering, Helsinki University of

Source URL: becs.aalto.fi

The Journal of TRAUMA威 Injury, Infection, and Critical Care The Use of Polynomial Neural Networks for Mortality Prediction in Uncontrolled Venous and Arterial Hemorrhage David A. Roberts, MS, John B. Holcomb, MD, FACS

Source URL: ndpmetrics.com

IEEE CIS Neural Networks Pioneer Award Nomination The IEEE Computational Intelligence Society Neural Networks Pioneer Award recognizes significant contributions to early concepts and sustained developments in the field o

Source URL: cis.ieee.org

Synchrony and Asynchrony in Neural Networks Fabian Kuhn Faculty of Informatics University of Lugano (USI), Switzerland

Source URL: ac.informatik.uni-freiburg.de

Indirectly Encoded Sodarace for Artificial Life In: Proceedings of the 12th European Conference on Artificial Life (ECAL-2013, Taormina, Italy). Cambridge, MA: MIT Press Paul Szerlip and Kenneth O. Stanley Department of

Source URL: eplex.cs.ucf.edu

• Evolutionary algorithms
• Artificial neural networks
• Evolutionary computation
• Applied mathematics
• Artificial intelligence
• Evolution
• Genetic algorithms
• Cognitive science
• HyperNEAT
• Neuroevolution
• Compositional pattern-producing network
• Evolutionary robotics

VOICE CONVERSION USING ARTIFICIAL NEURAL NETWORKS Srinivas Desai† , E. Veera Raghavendra† , B. Yegnanarayana†, Alan W Black‡ , Kishore Prahallad†‡ †International Institute of Information Technology - Hydera

Source URL: ravi.iiit.ac.in

Neural Variational Inference and Learning in Belief Networks Andriy Mnih & Karol Gregor Google DeepMind Overview

Source URL: www.cs.toronto.edu

UNSUPERVISED NEURAL NETWORK BASED FEATURE EXTRACTION USING WEAK TOP-DOWN CONSTRAINTS Herman Kamper1,2 , Micha Elsner3 , Aren Jansen4 , Sharon Goldwater2 1 CSTR and 2 ILCC, School of Informatics, University of Edinburgh,

Source URL: www.cstr.ed.ac.uk

• Machine learning
• Artificial neural networks
• Artificial intelligence
• Learning
• Applied mathematics
• Computational neuroscience
• Cybernetics
• Computational statistics
• Autoencoder
• Speech recognition
• Backpropagation
• Supervised learning

Where do features come from? Geoffrey Hinton Department of Computer Science, University of Toronto 6 King’s College Rd, M5S 3G4, Canada February 18, 2013

Source URL: www.cs.toronto.edu

• Artificial neural networks
• Restricted Boltzmann machine
• Boltzmann machine
• Autoencoder
• Backpropagation
• Feedforward neural network
• Generative model
• Connectionism
• Supervised learning
• Graphical model
• Machine learning
• Hidden Markov model

Introduction to Neural Networks Mark Johnson Dept of Computing Macquarie University Sydney Australia

Source URL: web.science.mq.edu.au