'Events a' presentation slideshows

Week 4 September 22-26

882 views • 76 slides

Outline for Today

Pre-Orientation Review Session ENV710 Applied Data Analysis for Environmental Science 16 August 2013 Assistant Professor of the Practice, Elizabeth A. Albright, Ph.D . Outline for Today. Introductions Overview of diagnostic exam Scroll through the Stats Review Website

682 views • 60 slides

Module 18: Distributed Coordination

Module 18: Distributed Coordination. Event Ordering Mutual Exclusion Atomicity Concurrency Control Deadlock Handling Election Algorithms Reaching Agreement. Event Ordering. Happened-before relation (denoted by ?).

566 views • 42 slides

Correlation Coefficient and Risk

676 views • 39 slides

Probability

Probability. The Study of Randomness. The language of probability. Random is a description of a kind of order that emerges only in the long run even though individual outcomes are uncertain.

339 views • 33 slides

Probability

534 views • 32 slides

Finding Probabilities

Finding Probabilities. Sec 5.2 Part one. Vocabulary: . Sample Space : For a random Phenomenon the sample space is the set of all possible outcomes. Examples: For the flip of two coins the sample space is. {(HH), (HT), (TH), (TT)} A single role of a six sided die.

428 views • 31 slides

Where are we in CS 440?

Where are we in CS 440?. Now leaving: search, games, and planning Entering: probabilistic reasoning and machine learning. Probability: Review of main concepts. Motivation: Planning under uncertainty. Recall: representation for planning States are specified as conjunctions of predicates

471 views • 31 slides

Probability

Probability. Uncertainty. Let action A t = leave for airport t minutes before flight Will A t get me there on time ? Problems : Partial observability (road state, other drivers' plans, etc .) Noisy sensors (traffic reports ) Uncertainty in action outcomes (flat tire, etc .)

529 views • 31 slides

Experiments, Outcomes and Events

Experiments, Outcomes and Events. Experiment. Describes a process that generates a set of data Tossing of a Coin Launching of a Missile and observing its velocity Opinions of Voters concerning a new tax

298 views • 14 slides

General Probability Rules 6.3

General Probability Rules 6.3. Mathematical Notation for Probability Rules. If A = some event, then 0 ? P(A) ? 1 If S = sample space, then P(S) = 1 P(A c ) = 1 - P(A) If A and B are disjoint: P(A or B) = P(A)+P(B) If A and B are independent: P(A and B) = P(A)P(B). Union.

236 views • 14 slides

Section 1.5

Section 1.5. Events A and B are called independent events if and only if. P( A ? B ) = P( A ) P( B ) ?. P( A ) = P( A | B ) ? P( B ) = P( B | A ) . Events A , B , and C are called pairwise independent if and only if.

188 views • 12 slides

Probability Rules

Probability Rules. Rule 1. The probability of any event (A) is a number between zero and one. 0 < P(A) < 1. Probability Rules. Rule 2. The sum of the probabilities of all basic outcomes in the sample space must equal one P(S)=P(e 1 )+P(e 2 )+P(e 3 )+....+P(e n )=1. Probability Rules.

311 views • 10 slides

Probability Rules

Probability Rules. Rule 1. The probability of any event (A) is a number between zero and one. 0 < P(A) < 1. Probability Rules. Rule 2. The sum of the probabilities of all basic outcomes in the sample space must equal one P(S)=P(e 1 )+P(e 2 )+P(e 3 )+....+P(e n )=1. Probability Rules.

105 views • 10 slides

Outline for Today

Pre-Orientation Review Session ENV710 Applied Data Analysis for Environmental Science 16 August 2013 Assistant Professor of the Practice, Elizabeth A. Albright, Ph.D . Outline for Today. Introductions Overview of diagnostic exam Scroll through the Stats Review Website

103 views • 0 slides