PPT-Improbable Probabilities

What to do when what you think should happen doesnt Presented by scott fallstrom Faculty director math learning center Mathematical Dueling Duels have existed for a long time and to avoid any actual violence lets settle on . HYLQ57347UQHU For example let be the probability that a die roll is even and be the probability that a die roll is greater than 3 We have the following sets to describe each event The probability that the joint event occurs is the probability that the outcome is Need to write what you know as propositional formulas. Theorem proving will then tell you whether a given new sentence will hold given what you know. Three kinds of queries. Is my . knowledgebase . consistent? (i.e. is there at least one world where everything I know is true?) . Amit. . Goyal. Francesco . Bonchi. Laks. V. S. . Lakshmanan. University of British . Columbia. Yahoo! . Research. University of British Columbia. Present by . Ning. Chen. Content. Motivation. Contribution. Martina Litschmannová. m. artina.litschmannova. @vsb.cz. K210. Probability . basics. Statistical. (. random. ) experiment. A . r. andom. experiment . is an action or process that leads to one of several possible outcomes. . Kimberly Wyatt – Critical Reasoning. Consistency and inconsistency. Flip-flop. Waffle. Flakey. Consider new information. Change your own mind. Is it simply pandering?. Consistent Individual claims. Language Modeling. Estimating bigram probabilities. An example. Small Corpus:. <s. > I am Sam </s>. <s> Sam I am </s>. <s> I do not like green eggs and ham </s>. More examples: . Assigning Probabilities and Probability Relationships. Chapter 4. BA 201. Assigning Probabilities. Assigning Probabilities. Basic Requirements for Assigning Probabilities. 1. The probability assigned to each experimental. Reading: Chap 14, . Jurafsky. & Martin. This slide set was adapted from J. Martin, U. Colorado. Instructor. : Paul Tarau, based on . Rada. . Mihalcea’s. original slides. Probabilistic CFGs. The probabilistic model. Recall the hidden Markov model (HMM). a finite state automata with nodes that represent hidden states (that is, things we cannot necessarily observe, but must infer from data) and two sets of links. transition – probability that this state will follow from the previous state. Introduction and . Jurafsky. Model. Resource: . A Probabilistic . Model of Lexical . and Syntactic Access . and . Disambiguation, . Jurafsky. 1996. What is Reading?. Process of accessing words? or. BOOK . REVIEW. WRITER. : ADAM FAWER. . Improbable is a 2005 science fiction thriller novel by . Adam . Fawer. , about a gambler who gains the power to predict the future.. . It was awarded. . Recall the hidden Markov model (HMM). a finite state automata with nodes that represent hidden states (that is, things we cannot necessarily observe, but must infer from data) and two sets of links. transition – probability that this state will follow from the previous state. Results of Used Algorithms. Publications. Abstract. Improbable. . Differential. . Cryptanalysis. , . Differential. . Factors. Cryptanalysis. . Results. Expansion . Technique. : . Improbable. . Differentials.