'Probability law' diaporamas de présentation

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LSA 352: Speech Recognition and Synthesis

LSA 352: Speech Recognition and Synthesis

LSA 352: Speech Recognition and Synthesis. Dan Jurafsky Lecture 1: 1) Overview of Course 2) Refresher: Intro to Probability 3) Language Modeling. IP notice: some slides for today from: Josh Goodman, Dan Klein, Bonnie Dorr, Julia Hirschberg, Sandiway Fong. Outline.

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1.11k views • 101 slides
Natural Language Processing

Natural Language Processing

Natural Language Processing. Giuseppe Attardi Introduction to Probability, Language Modeling. IP notice: some slides from: Dan Jurafsky, Jim Martin, Sandiway Fong, Dan Klein. Outline. Probability Basic probability Conditional probability Language Modeling (N-grams) N-gram Intro

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914 views • 77 slides
Sharif Rahman The University of Iowa Iowa City, IA 52245

Sharif Rahman The University of Iowa Iowa City, IA 52245

NSF Workshop on Probability & Materials: From Nano-to-Macro Scale. STOCHASTIC FRACTURE OF FUNCTIONALLY GRADED MATERIALS. Sharif Rahman The University of Iowa Iowa City, IA 52245. January 2005. OUTLINE. Introduction Fracture of FGM Shape Sensitivity Analysis Reliability Analysis

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398 views • 24 slides
SI485i : NLP

SI485i : NLP

SI485i : NLP. Day 2 Probability Review. Introduction to Probability. Experiment (trial) Repeatable procedure with well-defined possible outcomes Outcome The result of a single experiment run Sample Space (S) the set of all possible outcomes finite or infinite Example

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412 views • 24 slides
CSCI 5832 Natural Language Processing

CSCI 5832 Natural Language Processing

CSCI 5832 Natural Language Processing. Jim Martin Lecture 6. Today 1/31. Probability Basic probability Conditional probability Bayes Rule Language Modeling (N-grams) N-gram Intro The Chain Rule Smoothing: Add-1. Probability Basics. Experiment (trial)

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362 views • 24 slides
CSCI 5832 Natural Language Processing

CSCI 5832 Natural Language Processing

CSCI 5832 Natural Language Processing. Jim Martin Lecture 6. Today 1/31. Probability Basic probability Conditional probability Bayes Rule Language Modeling (N-grams) N-gram Intro The Chain Rule Smoothing: Add-1. Probability Basics. Experiment (trial)

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243 views • 24 slides
Independence and Counting

Independence and Counting

Independence and Counting. Berlin Chen Department of Computer Science & Information Engineering National Taiwan Normal University. Reference: - D. P. Bertsekas, J. N. Tsitsiklis, Introduction to Probability , Sections 1.5-1.6. Independence (1/2).

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223 views • 21 slides

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