'Pr x' diaporamas de présentation

Exponential random graph ( p *) models for social networks

Exponential random graph ( p *) models for social networks Workshop Harvard University February 2002 Philippa Pattison Garry Robins Department of Psychology University of Melbourne Australia Plan for the workshop Model construction: dependence graphs

594 views • 41 slides

Introduction to Probability Theory

627 views • 39 slides

Monte Carlo simulation

Monte Carlo simulation. Modeling and Simulation CS 313. EMPIRICAL PROBABILITY AND AXIOMATIC PROBABILITY. The main characterization of Monte Carlo simulation system is being stochastic (random ) and deterministic (time is not significant ) .

797 views • 25 slides

The Many Entropies of One-Way Functions

The Many Entropies of One-Way Functions . Omer Reingold. Joint With. Iftach Haitner. Thomas Holenstein. Salil Vadhan. Hoeteck Wee. Cryptography. Rich array of applications and powerful implementations. In some cases ( e.g Zero-Knowledge), more than we would have dared to ask for.

315 views • 25 slides

11A The Binomial Distribution

11A The Binomial Distribution. Are these Bernoulli sequences? Rolling an 8-sided die, numbered 1 to 8, 40 times and recording the number of 6s. Drawing a card from a fair deck, with replacement, and recording the number of aces. Rolling a die 60 times and recording the number obtained.

371 views • 20 slides

Data description and transformation

Data description and transformation. What do we look for when we describe univariate data? Peaks/Bumps Location Spread Outliers. Window glass. Patterned Glass. Toughened glass. Borosilicates. Lead glass. Data description. Peaks/Bumps Unimodal Bimodal Multimodal

212 views • 18 slides

Machine Learning Saarland University, SS 2007

246 views • 13 slides