Modeling Documents with a Deep Boltzmann Machine Nitish Srivastava Ruslan Salakhutdinov Geoffrey Hinton

Source URL: www.cs.toronto.edu

• Artificial neural networks
• Statistics
• Applied mathematics
• Machine learning
• Multinomial logistic regression
• Restricted Boltzmann machine
• Boltzmann machine
• Latent Dirichlet allocation
• Logistic function
• Multimodal learning
• Deep learning

Learning Rules from Incomplete Examples via Observation Models Janardhan Rao Doppa, Mohammad NasrEsfahani, Mohammad S. Sorower, Jed Irvine Thomas G. Dietterich, Xiaoli Fern, and Prasad Tadepalli School of EECS, Oregon St

Source URL: web.engr.oregonstate.edu

• Applied mathematics
• Probability and statistics
• Statistics
• Bayesian network
• Scoring rule
• Machine learning
• Confidence interval
• Expectationmaximization algorithm
• Semi-supervised learning

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

Factoring RSA Modulus Using Prime Reconstruction from Random Known Bits Subhamoy Maitra, Santanu Sarkar, and Sourav Sen Gupta Applied Statistics Unit, Indian Statistical Institute, 203 B T Road, Kolkata, India su

Source URL: www.souravsengupta.com

The Annals of Applied Probability 2013, Vol. 23, No. 3, 859–894 DOI: AAP857 © Institute of Mathematical Statistics, 2013 ROOT’S BARRIER: CONSTRUCTION, OPTIMALITY AND

Source URL: www.maths.bath.ac.uk

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

Manufacturing Productivity and the Shifting US, China, and Global Job Scenes—1990 to 2005 William A. Ward Professor of Applied Economics and Statistics & Director of the Center for International Trade

Source URL: ageconsearch.umn.edu

November 7, :4 WSPC - Proceedings Trim Size: 9.75in x 6.5in

Source URL: www.jsbi.org

• Statistics
• Time series models
• Regression analysis
• Applied mathematics
• Estimation theory
• Robot control
• Parametric statistics
• Vector autoregression
• Kalman filter
• Linear regression
• Autoregressive model
• Value at risk

CURRICULUM VITAE July, 2015 Carey E. Priebe Department of Applied Mathematics & Statistics Whiting School of Engineering

Source URL: www.ams.jhu.edu