Gaussian LDA for Topic Models with Word Embeddings Rajarshi Das* , Manzil Zaheer* , Chris Dyer School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA {rajarshd, manzilz, cdyer} @cs.cmu.edu

Source URL: manzil.ml

• Statistics
• Statistical natural language processing
• Machine learning
• Probability
• Latent Dirichlet allocation
• Topic model
• Latent semantic analysis
• Word2vec
• Semantic similarity
• Vector space model
• Word embedding
• Gibbs sampling

Introduction Computing the probability of collision Conclusion A new method to compute the probability of collision for short-term space encounters

Source URL: fastrelax.gforge.inria.fr

Journal of Machine Learning Research1561 Submitted 8/09; Revised 3/10; Published 4/10 Hilbert Space Embeddings and Metrics on Probability Measures Bharath K. Sriperumbudur

Source URL: select.cs.cmu.edu

• Mathematical analysis
• Mathematics
• Analysis
• Hilbert space
• Fourier analysis
• Generalized functions
• Functional analysis
• Operator theory
• Reproducing kernel Hilbert space
• Positive-definite kernel
• Dirac delta function
• Convolution

Kernel Belief Propagation 1 Le Song,1 Arthur Gretton,1,2 Danny Bickson,1 Yucheng Low,1 Carlos Guestrin1 School of Computer Science, CMU; 2 Gatsby Computational Neuroscience Unit & MPI for Biological Cybernetics

Source URL: select.cs.cmu.edu

• Statistics
• Probability
• Mathematical analysis
• Machine learning
• Hilbert space
• Graphical models
• Probability theory
• Belief propagation
• Coding theory
• Positive-definite kernel
• Mixture model
• Normal distribution

Nonparametric Tree Graphical Models via Kernel Embeddings 1 Le Song,1 Arthur Gretton,1,2 Carlos Guestrin1 School of Computer Science, Carnegie Mellon University; 2 MPI for Biological Cybernetics

Source URL: select.cs.cmu.edu

• Mathematics
• Mathematical analysis
• Hilbert space
• Topology
• Probability theory
• Model theory
• Graphical models
• Reproducing kernel Hilbert space
• Positive-definite kernel
• Embedding
• Belief propagation
• Kalman filter

Opinion Exchange Dynamics Elchanan Mossel and Omer Tamuz CopyrightAll rights reserved to the authors Contents Chapter 1. Introduction

Source URL: people.hss.caltech.edu

• Statistical models
• Statistics
• Scientific modeling
• Academia
• Abstraction
• Simulation
• Statistical theory
• Macroeconomic model
• Economic model
• Bounded rationality
• Probability space
• Conceptual model

Poisson Statistics in High-Energy Astrophysics Andy Pollock European Space Agency

Source URL: www.atomdb.org

• Statistics
• Mathematical analysis
• Probability
• Probability distributions
• Normal distribution
• Poisson distribution
• Mu
• Central limit theorem

Discussion on Brownian distance covariance by G. J. Szekely and M. L. Rizzo

Source URL: select.cs.cmu.edu

• Covariance and correlation
• Multivariate statistics
• Probability theory
• Hilbert space
• Independence
• Positive-definite kernel
• Distance correlation
• Reproducing kernel Hilbert space
• Covariance
• Characteristic function
• Kernel
• Multivariate random variable

Preparing a PDS4 data archive for the NASA Planetary Data System Cartography and Imaging Sciences (“Imaging”) NodeCongratulations on being selected for funding by a NASA research program! You’ve

Source URL: pds-imaging.jpl.nasa.gov

• Information science
• Computing
• Data management
• Data
• Goddard Space Flight Center
• Planetary Data System
• Data set
• Oracle Database
• Research data archiving
• Probability of default

A fractional derivative on the Wiener space and applications to approximation theory Stefan Geiss University of Innsbruck Given an abstract Wiener space on a probability space (M, Σ, µ) and Z ∈ L2 , we introduce a fr

Source URL: icsaa.iam.uni-bonn.de