IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, VOL. 18, NO. 2, APRILTowards an Intelligent Wheelchair System for Users With Cerebral Palsy

Source URL: webdiis.unizar.es

• Chairs
• Assistive technology
• Wheelchairs
• Usability
• Motorized wheelchair
• User interface
• Autonomous robot
• Health
• Human factors
• Technology
• Ergonomics
• Human–computer interaction

Under review as a conference paper at ICLRT RAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING Scott E. Reed & Honglak Lee Dept. of Electrical Engineering and Computer Science, University of Michigan

Source URL: www-personal.umich.edu

• Statistical inference
• Ensemble learning
• Resampling
• Bootstrapping
• Semi-supervised learning
• Supervised learning
• Bootstrap aggregating
• Cross-validation
• Neural network
• Statistics
• Machine learning
• Computational statistics

Vita (as of JanuaryQuentin F. Stout Computer Science and Engineering University of Michigan 2260 Hayward

Source URL: web.eecs.umich.edu

• Parallel computing
• Algorithm
• Mathematics
• Supercomputers
• Neural networks
• MOSIX
• Computing
• Support
• Wireless networking

RECURRENT NEURAL NETWORK LANGUAGE MODEL TRAINING WITH NOISE CONTRASTIVE ESTIMATION FOR SPEECH RECOGNITION X. Chen, X. Liu, M. J. F. Gales and P. C. Woodland University of Cambridge Engineering Dept, Trumpington St., Camb

Source URL: mi.eng.cam.ac.uk

THE USE OF RECURRENT NEURAL NETWORKS FOR CLASSIFICATION T. L. Burrows M. Niranjan Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, England

Source URL: mi.eng.cam.ac.uk

The final publication is available at Springer via http://dx.doi.orgs11263x A Neural Autoregressive Approach to Attention-based Recognition Yin Zheng Department of Electronic Engineering, Tsinghua Uni

Source URL: www.cs.toronto.edu

ROBUST DIALOG STATE TRACKING USING DELEXICALISED RECURRENT NEURAL NETWORKS AND UNSUPERVISED ADAPTATION Matthew Henderson1 , Blaise Thomson2 and Steve Young1 1 Department of Engineering, University of Cambridge, UK

Source URL: mi.eng.cam.ac.uk

Deep Neural Network Approach for the Dialog State Tracking Challenge Matthew Henderson, Blaise Thomson and Steve Young Department of Engineering, University of Cambridge, U.K. {mh521, brmt2, sjy}@eng.cam.ac.uk

Source URL: mi.eng.cam.ac.uk

PARAPHRASTIC RECURRENT NEURAL NETWORK LANGUAGE MODELS X. Liu, X. Chen, M. J. F. Gales & P. C. Woodland Cambridge University Engineering Dept, Trumpington St., Cambridge, CB2 1PZ U.K. Email: {xl207,xc257,mjfg,pcw}@eng.cam

Source URL: mi.eng.cam.ac.uk

BrainCrafter: An Investigation Into Human-based Neural Network Engineering Jan Piskur, Peter Greve, Julian Togelius, and Sebastian Risi , , , Abstract—This paper pre

Source URL: julian.togelius.com

• Science
• Artificial intelligence
• Cybernetics
• Computational neuroscience
• Evolutionary computation
• Artificial neural network
• Interactive evolutionary computation
• Genetic algorithm
• Neuroevolution
• Evolutionary algorithms
• Neural networks
• Applied mathematics