PPT-Accusation probabilities in

Tardos codes Antonino Simone and Boris Š kori ć Eindhoven University of Technology CWG Dec 2010 Outline Introduction to forensic watermarking Collusion attacks Aim Attack models Tardos. HYLQ57347UQHU In such a case a panel of jurors from th e college will consider the statements and evidence brought before it as provided by you and your accuser Following the hearing the CEAS CASA will then make a judgment by majority vote of whether you are guil Presentation of accusation Service on defendant 1 When t he accusation is initia ted by a a gr and jury t he foreperson shall present the accusation to the court in t he presence of the grand juror s which shall 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?) . St. . Edward’s. University. .. .. .. .. .. .. .. .. .. .. .. SLIDES. . .. . BY. Chapter 4. Introduction to Probability. Experiments, Counting Rules, . and Assigning Probabilities. Events and Their Probability. David J. Hand. Imperial College, London. and . Winton Capital . Management. This version has been redacted to remove images for copyright reasons. 1. thinking of someone just before they phone you. bumping into an old friend in a strange town. 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. 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. . .. . BY. John Loucks. St. . Edward’s. University. .. .. .. .. .. .. .. .. .. .. .. Chapter 4. Introduction to Probability. Experiments, Counting Rules, . and Assigning Probabilities. Events and Their Probability. A Brief Introduction. Random Variables. Random Variable (RV): A numeric outcome that results from an experiment. For each element of an experiment’s sample space, the random variable can take on exactly one value. 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. A Brief Introduction. Normal (Gaussian) Distribution. Bell-shaped distribution with tendency for individuals to clump around the group median/mean. Used to model many biological phenomena. Many . estimators . . Rumors,. Accusations,. & Reports. Circulate. Accusations. Are Not Always. True. Usually – Based on. A Twist of. Something. (cf. Rom. 5:20). Jesus was constantly involved in controversy. Many accusations were made against him. The "RED" Threat. Throughout the 1940s and 1950s America was overwhelmed with concerns about the threat of communism.. Capitalizing on those concerns, young Senator Joseph McCarthy made a public accusation that more than 200 communists had infiltrated the US government..