ON TESTING HAMILTONICITY OF GRAPHS Alexander Barvinok July 15, 2014 Abstract. Let us fix a function f (n) = o(n ln n) and reals 0 ≤ α < β ≤ 1. We present a polynomial time algorithm which, given a directed graph G

Source URL: www.math.lsa.umich.edu

• Mathematics
• Permutations
• Linear algebra
• Matrix theory
• Algebra
• Permanent
• Computing the permanent
• Permutation
• Hamiltonian path
• Tournament

Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach Peter Beerli* and Joseph Felsenstein Department of Genetics, University of Washington,

Source URL: evolution.gs.washington.edu

• Statistics
• Statistical theory
• Statistical genetics
• Estimation theory
• Population genetics
• Coalescent theory
• M-estimators
• Maximum likelihood estimation
• Likelihood-ratio test
• Likelihood function
• Substitution model
• Confidence interval

BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle, Christoph Freudenthaler, Zeno Gantner and Lars Schmidt-Thieme {srendle, freudenthaler, gantner, schmidt-thieme}@ismll.de Machine Learning Lab, Un

Source URL: www.algo.uni-konstanz.de

• Algebra
• Mathematics
• Information science
• Linear algebra
• Matrix theory
• Recommender systems
• Statistical theory
• Collaborative filtering
• Machine learning
• Loss function
• Singular value decomposition
• Artificial neural network

FnattLabME 2.Release Helmut Dersch March 22, 2006 Abstract This revised version of FnattlabME, the Matlab/Octave/Scilab compatible calculator for mobile devices, has been extended and the user interface has been adapted

Source URL: webuser.fh-furtwangen.de

• Software
• Application software
• Mathematical analysis
• Binary operations
• Functional languages
• Exponentials
• Exponentiation
• Limit of a function
• R
• Expected value
• Matrix
• State-space representation

Slutsky Matrix Norms: The Size, Classification, and Comparative Statics of Bounded Rationality∗ Victor H. Aguiar†and Roberto Serrano‡ This version: OctoberAbstract

Source URL: www.econ.vt.edu

• Matrices
• Skew-symmetric matrix
• operator
• Matrix
• Measure theory
• Probability distributions
• Lie groups
• Meijer G-function
• Sigma-algebra

The complete generating function for Gessel walks is algebraic Alin Bostan (Algorithms Project, INRIA) joint work with

Source URL: caramba.loria.fr

• Mathematics
• Mathematical analysis
• Algebra
• Ordinary differential equations
• Orthogonal polynomials
• Method of undetermined coefficients
• Exponentials
• Lie groups
• Matrix theory
• Matrix exponential
• Laguerre polynomials

JMLR: Workshop and Conference Proceedings vol 40:1–25, 2015 Contextual Dueling Bandits Miroslav Dud´ık MDUDIK @ MICROSOFT. COM

Source URL: jmlr.org

• Mathematical analysis
• Mathematics
• Analysis
• Machine learning
• Multi-armed bandit
• Stochastic optimization
• Prime-counting function
• Matrix
• Pi
• Algorithm

Score Function Features for Discriminative Learning: Matrix and Tensor Frameworks Majid Janzamin∗ Hanie Sedghi†

Source URL: www-scf.usc.edu

Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits Yasin Abbasi-Yadkori Dept. of Computing Science University of Alberta

Source URL: webdocs.cs.ualberta.ca

• Econometrics
• Machine learning
• Statistical theory
• Probability distributions
• Online machine learning
• Loss function
• Big O notation
• Sample complexity
• Confidence interval
• Normal distribution
• Matrix
• Algorithm

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