Target Essentiality and Centrality Characterize Drug Side Effects Xiujuan Wang1,2., Bram Thijssen3., Haiyuan Yu1,2* 1 Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, U

Source URL: yulab.icmb.cornell.edu

Concepts and properties in word spaces* Marco Baroni & Alessandro Lenci Properties play a central role in most theories of conceptual knowledge. Since computational models derived from word co-occurrence statistics have

Source URL: www.italian-journal-linguistics.com

Short CV James G. Booth January 2018 Contact information Department of Biological Statistics and Computational Biology and Department of Statistical Science, 1172 Comstock Hall, Cornell University, Ithaca, NYEmai

Source URL: faculty.bscb.cornell.edu

Fall 2014 Graduate Education Catalog Duluth Campus Applied and Computational Mathematics M.S. Mathematics & Statistics

Source URL: www.catalogs.umn.edu

Lattice Boltzmann and Pseudo-Spectral Methods for Decaying Turbulence Li-Shi Luo Department of Mathematics and Statistics and Center for Computational Sciences College of Sciences, Old Dominion University, Norfolk, VA 23

Source URL: www.math.u-psud.fr

ABOUT MANUSCRIPTS FOR IJ ITA

Source URL: foibg.com

• Applied mathematics
• Computational statistics
• Computational neuroscience
• Academia
• Artificial neural network
• Mathematical psychology
• Cognitive science
• Machine learning
• Algorithm
• Group method of data handling
• Deep learning

A Bayesian model for identifying hierarchically organised states in neural population activity Patrick Putzky1,2,3 , Florian Franzen1,2,3 , Giacomo Bassetto1,3 , Jakob H. Macke1,3 1 Max Planck Institute for Biological Cy

Source URL: www.mackelab.org

• Computational neuroscience
• Statistics
• Neuroscience
• Statistical theory
• Neural networks
• Bioinformatics
• Artificial neural network
• Bayesian network
• Neural coding
• Variational Bayesian methods
• Bayesian inference
• Hidden Markov model

Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit

Source URL: www.mackelab.org

• Statistics
• Statistical theory
• Estimation theory
• Actuarial science
• Expectationmaximization algorithm
• Missing data
• Maximum likelihood estimation
• Variational Bayesian methods
• Linear regression
• Normal distribution
• Covariance
• Regression analysis

SIGCHI Conference Proceedings Format

Source URL: poloclub.gatech.edu

• Computational science
• Computer graphics
• Infographics
• Business intelligence
• Academia
• Communication design
• Statistical models
• Statistics
• Visual analytics
• Visualization
• Predictive modelling

Interactive HMM construction based on interesting sequences Szymon Jaroszewicz National Institute of Telecommunications Warsaw, Poland

Source URL: www.ke.tu-darmstadt.de

• Markov models
• Machine learning
• Probability
• Statistics
• Bioinformatics
• Computational linguistics
• Hidden Markov model
• Markov chain
• BaumWelch algorithm
• Speech recognition
• Expectationmaximization algorithm
• Association rule learning