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Introduction to probability

Introduction to probability

Introduction to probability. Probability . Probability – the chance that an uncertain event will occur (always between 0 and 1) Symbols: P(event A) = “the probability that event A will occur” P(red card) = “the probability of a red card”

By jana
(494 views)

Presentation on Smart Graphics

Presentation on Smart Graphics

Presentation on Smart Graphics Frank Farance, Farance Inc. +1 212 486 4700 frank@farance.com Framework For Smart Graphics AGR numbers are strawmen Joint activities: IEEE 1484.7 Tool/Agent Communication AICC Smart Graphics Working Group Related activities:

By oshin
(291 views)

Chapter 9. Context-Free Grammars for English

Chapter 9. Context-Free Grammars for English

Chapter 9. Context-Free Grammars for English. From: Chapter 9 of An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, by Daniel Jurafsky and James H. Martin. Background. Syntax: the way words are arranged together Main ideas of syntax:

By LionelDale
(371 views)

Quality-Aware Probing of Uncertain Data with Resource Constraints

Quality-Aware Probing of Uncertain Data with Resource Constraints

Quality-Aware Probing of Uncertain Data with Resource Constraints. Reynold Cheng. Jinchuan Chen. The Hong Kong Polytechnic University csjcchen@comp.polyu.edu.hk. The University of Hong Kong ckcheng@cs.hku.hk.

By Michelle
(219 views)

Randomized algorithms for the least-squares approximation problem

Randomized algorithms for the least-squares approximation problem

Randomized algorithms for the least-squares approximation problem. Petros Drineas Rensselaer Polytechnic Institute Computer Science Department. For papers, etc. drineas. Overview. L 2 regression algorithms Overview of well-known numerical analysis algorithms,

By Gabriel
(287 views)

SE-561 Math Foundations Petri Nets - I I

SE-561 Math Foundations Petri Nets - I I

SE-561 Math Foundations Petri Nets - I I. Dr. Jiacun Wang Department of Software Engineering Monmouth University. Review: Petri Nets. A Petri net N is a tuple N = { P , T , I , O , M 0 }, where P is a finite set of places, graphically represented by circles

By paul2
(335 views)

CSCE 330 Project Algol 68

CSCE 330 Project Algol 68

CSCE 330 Project Algol 68. Joe Puzio Wael AL-Fayez Gaurav Shah Ronak Patel. History . ALGO rithmic L anguage Developed in Europe by an international group, consisting of 7 different countries, in the late 1950’s Very similar to FORTRAN

By Mercy
(319 views)

Optical Switching Networks

Optical Switching Networks

Optical Switching Networks. Presentation by Joaquin Carbonara. References. Work by Ngo,Qiao,Pan, Anand, Yang Chu/Liu/Zhang Pippinger/Feldman/Friedman Winkler/Haxell/Rasala/Wilfong. Introduction. Statement of the Problem. About Optical Networks.

By sandra_john
(301 views)

SiSSYFiGHT 3000

SiSSYFiGHT 3000

SiSSYFiGHT 3000. Overview. SiSSYFiGHT simulates a playground fight between little girls. . Overview. Each girl begins with 10 Self-Esteem chips … and the goal of the game is to reduce your opponents’ self-esteem to ZERO! . Overview.

By allegra
(1794 views)

Lexical and Syntactic Analysis

Lexical and Syntactic Analysis

Lexical and Syntactic Analysis. Here, we look at two of the tasks involved in the compilation process Given source code, we need to first break it into meaningful units (lexical analysis) and then parse these lexical components into their syntactic uses (syntactic analysis)

By Patman
(428 views)

Causality and Identification in Structural Econometrics

Causality and Identification in Structural Econometrics

Causality and Identification in Structural Econometrics. Causality and Probability in the Sciences University of Kent, Canterbury September 10 2008 Damien Fennell CPNSS, London School of Economics. Introducing Econometrics. What is econometrics?

By jersey
(434 views)

All You Ever Wanted to Know About Dynamic Taint Analysis & Forward Symbolic Execution (but might have been afraid to

All You Ever Wanted to Know About Dynamic Taint Analysis & Forward Symbolic Execution (but might have been afraid to

All You Ever Wanted to Know About Dynamic Taint Analysis & Forward Symbolic Execution (but might have been afraid to ask). Edward J. Schwartz, Thanassis Avgerinos , David Brumley. (Yes, we were trying to overflow the title length field on the submission server).

By colby
(445 views)

Linear regression and Correlation

Linear regression and Correlation

Linear regression and Correlation. Peter Shaw. Introduction. X Y. These inter-related areas together make up one of the most powerful and useful areas of data analysis

By irish
(218 views)

Using Investigations to Teach Some Undergraduate level Mathematics Courses Mohammed A. Qazi Department of Mathematics T

Using Investigations to Teach Some Undergraduate level Mathematics Courses Mohammed A. Qazi Department of Mathematics T

Using Investigations to Teach Some Undergraduate level Mathematics Courses Mohammed A. Qazi Department of Mathematics Tuskegee University. Courses Targeted. Emphasis is on one section of College Algebra (MATH 107) Each section has a mix of majors, with an average of 10 -12 education majors

By kaylee
(256 views)

Archival Description People, Records, and Functions

Archival Description People, Records, and Functions

Archival Description People, Records, and Functions. Daniel V. Pitti Institute for Advanced Technology in the Humanities University of Virginia March 2003. Overview. Preliminary Thoughts Archival records Traditional and digital archival description Encoded Archival Description

By tracey
(237 views)

Activity 2: The Earth’s Atmosphere & Magnetic Field

Activity 2: The Earth’s Atmosphere & Magnetic Field

Module 7: Home Planet – the Earth. Activity 2: The Earth’s Atmosphere & Magnetic Field. Summary. In this Activity, we will investigate (a) the composition of the Earth’s atmosphere, (b) layers & temperatures in the Earth’s atmosphere, (c) the effects of sunlight,

By olesia
(211 views)

Standard Normal Distribution

Standard Normal Distribution

Standard Normal Distribution. AP Statistics Mr. Clark. Warm Up. AP Free Response 2000 #3. Homework. Any Questions? Pass it in. http://en.wikipedia.org/wiki/Normal_distribution. Notes:. Notation: A normal distribution with mean µ and standard deviation σ , can be written as N(µ, σ )

By ismet
(129 views)

Legal Issues

Legal Issues

Legal Issues. Death and Dying. The Right to Die. Leaving off the question of the morality or ethical permissibility of suicide, the law has been clear on 2 points regarding it:

By nicholas
(166 views)

NP-COMPLETENESS

NP-COMPLETENESS

NP-COMPLETENESS. PRESENTED BY TUSHAR KUMAR J. RITESH BAGGA. OVERVIEW. Introduction. Examples of exponential-time algorithms. NPC Class of algorithms. Approaches to tackle NPC problems. Polynomial Reductions. Examples of NPC Problems. Introduction.

By dotty
(452 views)

RELIABILITY

RELIABILITY

RELIABILITY. Reliability refers to the consistency of a test or measurement. Reliability studies Test-retest reliability Equipment and/or procedures Intra- or inter-rater reliability Assessing the reliability of individual raters or a group of raters. Terminology. Reliability Consistency

By parker
(714 views)

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