David Weenink Speaker-adaptive vowel identification Speaker-adaptive vowel identification

Source URL: www.fon.hum.uva.nl

• Statistics
• Multivariate statistics
• Applied mathematics
• Data analysis
• Artificial neural networks
• Computational neuroscience
• Computational statistics
• Statistical classification
• Principal component analysis
• Linear discriminant analysis
• Artificial neuron
• Algorithm

若手研究者インターナショナル・トレーニング・プログラム(ITP) バイオインフォマティクスとシステムズバイオロジーの国際連携教育研究プログラム 応募書類 Name:

Source URL: www.bic.kyoto-u.ac.jp

• Computational neuroscience
• Computational statistics
• Applied mathematics
• Mathematical psychology
• Cybernetics
• Bioinformatics
• Artificial neural networks
• Academia

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

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

Linguistic Regularities in Continuous Space Word Representations Tomas Mikolov∗ , Wen-tau Yih, Geoffrey Zweig Microsoft Research Redmond, WA 98052

Source URL: www.aclweb.org

• Artificial neural networks
• Semantics
• Linguistics
• Natural language processing
• Computational linguistics
• Cognitive science
• Applied mathematics
• Artificial intelligence
• Word embedding
• Recurrent neural network
• SemEval
• Morphology

Multirobot Behavior Synchronization through Direct Neural Network Communication In: Proceedings of the 5th International Conference on Intelligent Robotics and Applications (ICIRANew York, NY: Springer-Verlang, 2

Source URL: eplex.cs.ucf.edu

• Artificial neural networks
• Evolutionary algorithms
• Evolutionary computation
• Genetic algorithms
• Artificial intelligence
• HyperNEAT
• Neuroevolution of augmenting topologies
• Neuroevolution
• Compositional pattern-producing network
• Robotics
• Robot
• Cognitive robotics

Journal of Machine Learning Research1958 Submitted 11/13; Published 6/14 Dropout: A Simple Way to Prevent Neural Networks from Overfitting

Source URL: www.cs.toronto.edu

• Artificial neural networks
• Artificial intelligence
• Machine learning
• Learning
• Computational neuroscience
• Computer vision
• Convolutional neural network
• Computational statistics
• Deep learning
• Dropout
• Backpropagation
• Autoencoder

Computation and Mind: Lab 1 - An Introduction to Artificial Neural Networks It has long been argued that the fundamental unit of computation in the brain is embodied in the neuron. During the middle part of the last cen

Source URL: smash.psych.nyu.edu