'Random walk' presentation slideshows

Peer-to-Peer Networks

Peer-to-Peer Networks. Overlay Network. A logical network laid on top of the Internet. Logical link AB. Logical link BC. B. A. C. Internet. The Formal Model. Let V be a set of nodes. The functions id : V ? Z+ assigns a unique id to each node in V

1.07k views • 92 slides

Recommendation in Social Networks

Recommendation in Social Networks. Mohsen Jamali , Martin Ester Simon Fraser University Vancouver, Canada. UBC Data Mining Lab October 2010. Outline. Introduction Collaborative Filtering Social Recommendation Evaluating Recommenders TrustWalker SocialMF Conclusion. Outline.

739 views • 58 slides

Time series analysis

Time series analysis. Example. Objectives of time series analysis. Classical decomposition: An example. Transformed data. Trend. Residuals. Trend and seasonal variation. Objectives of time series analysis. Unemployment data. Trend. Trend plus seasonal variation.

961 views • 56 slides

Rumors , consensus and epidemics on networks

Rumors , consensus and epidemics on networks. J. Ganesh University of Bristol. Rumor spreading. Population of size n One person knows a rumor at time 0 Time is discrete In each time step, each person who knows the rumor chooses another person at random and informs them of it

674 views • 49 slides

Link Analysis and spam

Link Analysis and spam. Slides adapted from Information Retrieval and Web Search, Stanford University, Christopher Manning and Prabhakar Raghavan CS345A, Winter 2009: Data Mining. Stanford University, Anand Rajaraman, Jeffrey D. Ullman. Query processing.

532 views • 43 slides

Donsker Theorem and its application

Donsker Theorem and its application. Vadym Omelchenko. Definition. Donsker Theorem. Proof. Proof. Proof. Proof. Proof. Proof of the tightness. Proof (Proof of the Lemma). Proof (Proof of the Lemma). Proof (Proof of the Lemma).

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Corporate Financing and Market Efficiency

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Non Unitary Random Walks

425 views • 28 slides

stochastic processes(2)

stochastic processes(2). Dr. Adil Yousif. Lecture 6. Cat and Mouse. Five Boxes [1,2,3,4,5] Cat starts in box 1, mouse starts in box 5 Each turn each animal can move left or right, (randomly) If they occupy the same box, game over (for the mouse anyway). 5 box cat and mouse game. States:.

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Query Suggestion Using Hitting Time

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Mobile Agent Rendezvous P roblem in a Ring

Mobile Agent Rendezvous P roblem in a Ring. Roberta Capuano,Vikas Kumar Jha. AGENDA. The renzezvous dilemma Definitions Mobile agent in rendezvous in a ring Rendezvous asymmetry Rendezvous symmetry How to break symmetry ? Algorithms Conclusion References.

619 views • 20 slides

Stochastic Differential Equations SDE

Stochastic Differential Equations SDE. Peyman Givi Department of Mechanical Engineering and Mater ials Science University of Pittsburgh October, 2009. Objective. To predict and understand of Stochastic Process, or sometimes Random Process. Numerical solution . Random Process:.

1.1k views • 17 slides

Advanced Time Series

329 views • 16 slides

Equilibrium Restricted Solid-on-Solid Models with Constraints on the Growth of Extremal heights

Equilibrium Restricted Solid-on-Solid Models with Constraints on the Growth of Extremal heights. Yup Kim, Sooyeon Yoon Kyunghee University Hyunggyu Park Inha University. 1. Abstract

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Advanced Time Series

397 views • 16 slides

3.6 First Passage Time Distribution

3.6 First Passage Time Distribution. ???. Introduction. In this section, we work only with Brownian motion, the continuous-time counterpart of the symmetric random walk. We begin here with a martingale containing Brownian motion in the exponential function.

574 views • 14 slides

Meeting report

Meeting report. NTU CSIE Adviser ? Prof. Jane Hsu Speaker ? Wen-Chieh Fang 2005/09/21. Agenda. Simulation Scenario Behavior-based Reactive Paradigm Problem description Robot model Random walk Coordination Area bounding Emergency detecting Demo Summary and future work.

220 views • 13 slides

Exchange Rates

Exchange Rates. Dr. Antony Mueller The Continental Economics Institute www.continentaleconomics.com. Types of exchange rates. Exchange rate is the price of one currency in terms of another currency $/Peso or Peso/$

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Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: Ballot theorem, ch. 7.6. Chip prop

Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: Ballot theorem, ch. 7.6. Chip proportions and induction. Theorem 7.6.8. Project B tournaments. Homework 4, Stat 35, due March 14 in class. 6.12, 7.2, 7.8, 7.14.

129 views • 4 slides