A Graph Expansion and Communication Costs of Fast Matrix Multiplication Grey Ballard, University of California at Berkeley James Demmel, University of California at Berkeley ¨ Berlin

Source URL: www.cs.huji.ac.il

• Mathematics
• Algebra
• Computational complexity theory
• Analysis of algorithms
• Multiplication
• Numerical linear algebra
• Matrix multiplication algorithm
• Matrix multiplication
• Strassen algorithm
• Fast Fourier transform
• Multiplication algorithm
• Algorithm

Support Vector Machine The Linearly Non-Separable Case Ling Zhu Fall 2013

Source URL: www.pstat.ucsb.edu

• Algebra
• Mathematics
• Vectors
• Statistical classification
• Linear algebra
• Mathematical optimization
• Vector calculus
• Support vector machine
• Linear separability
• Vector space
• KarushKuhnTucker conditions
• Euclidean vector

A Few Useful Things to Know about Machine Learning Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA, U.S.A.

Source URL: homes.cs.washington.edu

• Machine learning
• Artificial intelligence
• Statistical classification
• Learning
• Ensemble learning
• Cybernetics
• Boosting
• Support vector machine
• Linear classifier
• Naive Bayes classifier
• Online machine learning
• Generalization error

INSTRUMENTAL VARIABLES ESTIMATION WITH MANY WEAK INSTRUMENTS USING REGULARIZED JIVE CHRISTIAN HANSEN AND DAMIAN KOZBUR Abstract. We consider instrumental variables regression in models where the number of available instr

Source URL: www.n.ethz.ch

• Statistics
• Estimation theory
• Statistical theory
• Regression analysis
• Statistical inference
• Statistical methods
• Linear regression
• Instrumental variable
• Estimator
• Asymptotic theory
• Shrinkage estimator
• M-estimator

1 Solving Triangular Systems More Accurately and Efficiently Ph. Langlois, N. Louvet DALI-LP2A Laboratory. Universit´e de Perpignan. 52, avenue Paul Alduy. FPerpignan cedex.

Source URL: perso.ens-lyon.fr

• Computer arithmetic
• Mathematics
• Numerical analysis
• Arithmetic
• Theoretical computer science
• Numerical linear algebra
• Matrices
• Kahan summation algorithm
• Condition number
• Iterative refinement
• Division algorithm
• Rounding

REMARKS ON RICH SUBSPACES OF BANACH SPACES VLADIMIR KADETS, NIGEL KALTON AND DIRK WERNER Abstract. We investigate rich subspaces of L1 and deduce an interpolation property of Sidon sets. We also present examples of rich

Source URL: page.mi.fu-berlin.de

• Algebra
• Mathematics
• Mathematical analysis
• Operator theory
• Spectral theory
• Banach space
• Open set
• Compact operator
• Symbol
• Linear algebra
• Spectral theory of compact operators
• Decomposition of spectrum

We connect high-dimensional subset selection and submodular maximization. Our results extend the work of Das and Kempefrom the setting of linear regression to arbitrary objective functions. This connection allows

Source URL: mmds-data.org

Fast Process Variation Analysis in Nano-Scaled Technologies Using Column-Wise Sparse Parameter Selection Hassan Ghasemzadeh Mohammadi∗ , Pierre-Emmanuel Gaillardon∗ , Majid Yazdani† , Giovanni De Micheli∗ Integra

Source URL: majid.yazdani.me

• Software
• Estimation theory
• Statistics
• Machine learning
• Application software
• Actuarial science
• Regression analysis
• SPICE
• Pattern recognition
• Linear regression
• Structural estimation
• Semiconductor device modeling

Department of Public Health University of Copenhagen Advanced Epidemiology and Biostatistics Fall 2016

Source URL: mph.ku.dk

• Demography
• Statistics
• Public health
• Regression analysis
• Estimation theory
• Academia
• Bioinformatics
• Biostatistics
• Epidemiology
• Euler
• Linear regression
• Logistic regression

A Fast Implementation of Burg’s Method Koen Vos August, 2013 Abstract

Source URL: opus-codec.com

• Mathematical analysis
• Signal processing
• Mathematics
• Analysis
• Time series analysis
• Estimation theory
• Numerical analysis
• Mathematical optimization
• Levinson recursion
• Linear prediction
• Fourier transform
• Autoregressive model