International Journal of Solids and Structures[removed]–926 www.elsevier.com/locate/ijsolstr A note on divergence and flutter instabilities in elastic–plastic materials D. Bigoni a,*, H. Petryk b

Source URL: www.ing.unitn.it

• Solid mechanics
• Elasticity
• Tensors
• Plasticity
• Constitutive equation
• Objectivity
• Linear elasticity
• Normality
• Stress
• Mechanics
• Physics
• Continuum mechanics

Proceedings of ACL ’93, pp[removed]DISTRIBUTIONAL CLUSTERING OF ENGLISH WORDS Fernando Pereira AT&T Bell Laboratories

Source URL: www.cs.cornell.edu

• Information theory
• Hierarchical clustering
• Kullback–Leibler divergence
• Entropy
• Maximum likelihood
• Cross entropy
• Expectation–maximization algorithm
• Cluster analysis
• Determining the number of clusters in a data set
• Statistics
• Statistical theory
• Principle of maximum entropy

A new converse in rate-distortion theory Victoria Kostina, Sergio Verd´u Dept. of Electrical Engineering, Princeton University, NJ, 08544, USA Abstract—This paper shows new finite-blocklength converse bounds applicabl

Source URL: www.princeton.edu

• Data compression
• Rate–distortion theory
• Data
• Kullback–Leibler divergence
• Information theory
• Information
• Communication

An Information-Theoretic Approach to Traffic Matrix Estimation Yin Zhang Matthew Roughan Carsten Lund David Donoho

Source URL: conferences.sigcomm.org

• Internet protocols
• Internet standards
• Routing protocols
• Matrix
• Inverse problem
• Routing
• Kullback–Leibler divergence
• Normal distribution
• Regularization
• Internet
• Statistics
• Network architecture

[removed]Machine Learning, Spring 2011: Homework 1 Solution February 1, 2011 Instructions There are 3 questions on this assignment. The last question involves coding. Attach your code to the writeup. Please submit your hom

Source URL: www.cs.cmu.edu

• Decision trees
• Poisson processes
• Pruning
• Poisson distribution
• Kullback–Leibler divergence
• Tree
• Normal distribution
• Weight
• Gamma distribution
• Statistics
• Mathematical analysis
• Mathematics

[removed]Machine Learning, Spring 2011: Homework 1 Due: Tuesday, January 25, at the beginning of class Instructions There are 3 questions on this assignment. The last question involves coding. Attach your code to the write

Source URL: www.cs.cmu.edu

• Statistical theory
• Decision trees
• Poisson processes
• Pruning
• Kullback–Leibler divergence
• Poisson distribution
• Normal distribution
• Mutual information
• Conditional entropy
• Statistics
• Information theory
• Probability and statistics

DIVERGENCE OF INFINITE-VARIANCE NONRADIAL SOLUTIONS TO THE 3D NLS EQUATION JUSTIN HOLMER AND SVETLANA ROUDENKO Abstract. We consider solutions u(t) to the 3d focusing NLS equation i∂t u+∆u+ |u|2 u = 0 such that kxu(t

Source URL: www.math.brown.edu

• Calculus of variations
• Operator theory
• Ordinary differential equations
• Spectral theory
• Partial differential equation
• Sturm–Liouville theory
• Physics
• Dynamics
• Virial theorem

ISIT 2009, Seoul, Korea, June 28 - July 3, 2009 Mismatched Estimation and Relative Entropy Sergio Verd´u Department of Electrical Engineering Princeton University

Source URL: www.princeton.edu

• Statistical theory
• Randomness
• Signal processing
• Normal distribution
• Kullback–Leibler divergence
• Mutual information
• Entropy
• Estimation theory
• Differential entropy
• Statistics
• Probability and statistics
• Information theory

Total Variation Distance and the Distribution of Relative Information Sergio Verd´u Department of Electrical Engineering Princeton University Princeton, NJ 08544, USA

Source URL: www.princeton.edu

• Randomness
• Information
• Science
• Kullback–Leibler divergence
• Thermodynamics
• Entropy
• XTR
• Statistical theory
• Statistics
• Information theory

JOE ROSENBLATT, Department of Mathematics, University of Illinois at Urbana–Champaign, 273 Altgeld Hall, 1409 Green St., Urbana, IL 61801, USA Convergence and Divergence of Convolution Operators We consider Rd actions

Source URL: cms.math.ca