Social Networks and organizations Spring 2016 Alessandro Lomi Introduction Given a data matrix of cases-by-variables, a common analytical

Source URL: www.sonarcenter.eco.usi.ch

Behavior of the Concept Lattice Reduction Behavior of the Concept Lattice Reduction to to Visualizing Data after Using Matrix Visualizing Data after Using Matrix Decompositions Decompositions

Source URL: znalosti2008.fiit.stuba.sk

Consistent Estimation of Low-Dimensional Latent Structure arXiv:1510.03497v1 [stat.ML] 13 Oct 2015 in High-Dimensional Data Xiongzhi Chen

Source URL: arxiv.org

• Algebra
• Mathematics
• Mathematical analysis
• Matrix theory
• Dimension reduction
• Linear algebra
• Principal component analysis
• Eigenvalues and eigenvectors
• Multivariate normal distribution
• Matrix
• Distribution

Ann Inst Stat Math:329–351 DOIs10463Expectation-robust algorithm and estimating equations for means and dispersion matrix with missing data Ke-Hai Yuan · Wai Chan · Yubin Tian

Source URL: www.ism.ac.jp

• Statistics
• Estimation theory
• Covariance matrix
• Estimator
• Maximum likelihood estimation
• Variance
• Covariance
• Regression analysis
• M-estimator
• Normal distribution
• Linear regression
• Expected value

Classification with Low Rank and Missing Data Elad Hazan Princeton University and Microsoft Research, Herzliya EHAZAN @ CS . PRINCETON . EDU

Source URL: jmlr.org

• Algebra
• Mathematics
• Linear algebra
• Statistical classification
• Matrix theory
• Functional analysis
• Multivariate statistics
• Matrix completion
• Eigenvalues and eigenvectors
• Principal component analysis
• Projection
• Support vector machine

Towards a matrix-oriented strided interface in OpenSHMEM Jeff R. Hammond Extreme Scalability Group and Parallel Computing Lab Intel Corporation

Source URL: nic.uoregon.edu

• Computing
• Software engineering
• Computer programming
• Data types
• Parallel computing
• Application programming interfaces
• SHMEM
• Global Arrays
• Const
• Matrix
• Tensor
• Array programming

Computing for Data Sciences Lecture   Definitions: A norm is a function that assigns a strictly positive length or size to a vector in a vector space. Similarly a matrix norm is a natural extension of the noti

Source URL: www.souravsengupta.com

Navigation and Ancillary Information Facility Thoughts on Producing “Ancillary Data” to Support a Planetary Flight Project

Source URL: naif.pds.nasa.gov

• Astronautics
• Spacecraft
• Spacecraft Planet Instrument C-matrix Events
• Earth observation satellites
• Earth
• Unmanned spacecraft
• Space observatories

An Introduction to R Phil Spector Statistical Computing Facility University of California, Berkeley September 24, 2004

Source URL: www.stat.berkeley.edu

• Software engineering
• Computer programming
• Mathematics
• Subroutines
• Data types
• Functions and mappings
• Matrix
• R
• Variable
• Principal component analysis
• Array programming
• Parameter

AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 8 6 : Euclidean Distance Matrix Analysis: A Coordinate-Free Approach for Comparing Biological Shapes Using Landmark Data SUBHASH LELE AND JOAN T. RICHTSMEIER

Source URL: www.stat.ualberta.ca