PPT-Conditional Probability and Independence

Police report that 78 of drivers stopped on suspicion of drunk driving are given a breath test 36 a blood test and 22 both tests What is the probability that a randomly selected DWI suspect is given. Pieter . Abbeel. UC Berkeley EECS. Many slides adapted from . Thrun. , . Burgard. and Fox, Probabilistic Robotics. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . Bayes. Nets. Lecture 4. Getting a Full Joint Table Entry from a Bayes Net. Recall:. A . table entry for . X. 1 . = x. 1. ,…,. X. n. . = . x. n. . is simply P(. x. 1. ,…,. x. n. ) which can be calculated based on the . and Independence . in the Common Core. CMC Annual Conference. Palm Springs, CA. November, 2013.   . Josh Tabor. Canyon del Oro High School. joshtabor@hotmail.com. From the . Common Core State Standards. Objectives:. By the end of this section, I will be. able to…. Calculate conditional probabilities.. Recognize the difference between sampling with replacement and sampling without replacement.. CONDITIONAL PROBABILITY:. Heng. . Ji. jih@rpi.edu. 04/05, 04/08, 2016. Bayesian networks. More commonly called . graphical models. A way to depict conditional independence relationships between random variables. A compact . specification of full joint . Computer Science cpsc322, Lecture 26. (Textbook . Chpt. 6.1-2). Nov. , . 2013. Lecture Overview. Recap with Example. Marginalization. Conditional Probability. Chain Rule. Bayes. ' Rule. Marginal Independence. and Independence . in the Common Core. CMC Annual Conference. Palm Springs, CA. November, 2013.   . Josh Tabor. Canyon del Oro High School. joshtabor@hotmail.com. From the . Common Core State Standards. 15-381/681 . AI Lecture 10. Read . Chapter . 14.1-3 . of Russell & . Norvig. With thanks to Dan Klein (Berkeley), Percy Liang (Stanford) and Past 15-381 Instructors for slide . contents, . particularly Ariel . Conditional Probability. Conditional Probability: . A probability where a certain prerequisite condition has already been met.. Conditional Probability Notation. The probability of Event A, given that Event B has already occurred, is expressed as P(A | B).. Jonathan Lee and Varun Mahadevan. Programming Project: Spam Filter. Due: Check the Calendar. Implement a Naive Bayes classifier for classifying emails as either spam or ham.. You may use C, Java, Python, or R; . Miles. Jones. MTThF. 8:30-9:50am. CSE 4140. August 29, 2016. The Monty Hall Puzzle. What's the player's best strategy?. Always swap. B. Always stay. C. Doesn't matter, it's 50/50.. Car hidden behind one of three doors.. .  . .  . .  . .  . .  . .  . Announcements. Assignments:. HW9 (written). Due Tue 4/2, 10 pm. Optional Probability (online). Midterm:. Mon 4/8, in-class. Course Feedback:. See Piazza post for mid-semester survey. Coins game. Toss 3 coins. You win if . at least two . come out heads.. S. = { . HHH. , . HHT. , . HTH. , . HTT. , . THH. , . THT. , . TTH. , . TTT. }. W. = { . HHH. , . HHT. , . HTH. , . THH. }. Coins game. * Figures are from the . textbook site. .. II. Naïve Bayes model. III. Revisiting the . wumpus. world. I. Combining Evidence. What happens when we have two or more pieces of evidences?. . Suppose we know the full joint distribution..