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Slide 1Approximate Distance Oracles and Spanners with sublinear surplus Mikkel Thorup AT&T Research Uri Zwick Tel Aviv University Slide 2 Compact data structure APSP…

Robust Bayesian clustering Cédric Archambeau Michel Verleysen ⋆ Machine Learning Group, Université catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium. Abstract…

Bootstrap Methods and the Accuracy of Large-Scale Estimators Bradley Efron Stanford University Correlation and Accuracy • Modern Scientific Studies N cases genes, SNPs,…

ar X iv :1 60 3 04 99 4v 1 as tr o- ph S R 1 6 M ar 2 01 6 MNRAS 000 1–39 2015 Preprint 17 March 2016 Compiled using MNRAS LATEX style file v30 The R136 star cluster dissected…

Prasad Raghavendra Georgia Institute of Technology, Atlanta, GA Complexity of Constraint Satisfaction Problems Exact and Approximate TexPoint fonts used in EMF. Read the…

63 4 A sy m p to tic s a n d R o b u stn e ss 4 1 C o n siste n c y b R elative frequency R n → P 〈A 〉 = π = E〈R n 〉 M ore precisely lim n→ ∞ P {R n − π…

Algebră Curs 3 Prof Bogdan Gavrea CM 2016 Spaţii vectoriale Spaţii vectoriale Subspaţii liniare Bază şi dimensiune Definiţie Fie K = R sau K = C Un triplet…

Conformal Bootstrap: strong dynamics under siege Alessandro Vichi Scuola Normale Superiore, 19.10.2017 Perturbation Theory Most of our understanding of physical systems comes…

Boosting Bagging etc Based mostly on notes by Greg Ridgeway David Madigan ε ε ε ε Random Forests “ ” spam7rf printspam7rf Call: randomForestformula = yesno ~ data…

Slide 11 Average-Optimal Multiple Approximate String Matching Kimmo Fredriksson, Gonzalo Navarro ACM Journal of Experimental Algorithmics, Vol 9, Article No. 1.4,2004, Pages…

Progress In Electromagnetics Research B Vol 58 95–109 2014 An Approximate Approach to Determining the Permittivity and Permeability near λ2 Resonances in TransmissionReflection…

ELE 522: Large-Scale Optimization for Data Science Quasi-Newton methods Yuxin Chen Princeton University Fall 2019 Newton’s method minimizex∈Rn fx xt+1 = xt − ∇2fxt−1∇fxt…

Scalable Gaussian Processes Zhenwen Dai Amazon September 4 2018 @GPSS2018 Zhenwen Dai Amazon Scalable Gaussian Processes September 4 2018 @GPSS2018 1 55 Gaussian process…

Jackknife, bootstrap et cross-validation Introduction Partie 1 : Jackknife Partie 2 : Boostrap Modèles de régression Erreur de généralisation, cross-validation et…

Bootstrap Methods and the Accuracy of Large-Scale Estimators Bradley Efron Stanford University Correlation and Accuracy • Modern Scientific Studies N cases genes SNPs pixels…

Course BIOS601: Meanquartile of a quantitative variable:- models inference planning v 20180909 1 First: Overview of Sampling Distributions 11 Examples of Sampling Distributions…

SMALL-SIGNAL HYBRID-Π EQUIVALENT CIRCUIT Content BJT – Small Signal Amplifier BJT complete Hybrid equivalent circuit BJT approximate Hybrid model Objectives Develop the…

Cross-Parameterization and Compatible Remeshing of 3D Models Vladislav Kraevoy Alla Sheffer University of British Columbia Authors Vladislav Kraevoy Alla Sheffer Ph.D. Student…

The mcemGLM package Felipe Acosta Archila November 28, 2015 1 A Generalized Linear Mixed Model Suppose that we observe a vector of data Y = (Y1, . . . , Yn) ⊂ Y ⊆ R n…

LOWER BOUNDS FOR AGNOSTIC LEARNING VIA APPROXIMATE RANK Adam R. Klivans and Alexander A. Sherstov Abstract. We prove that the concept class of disjunctions cannot be pointwise…