'Probabilistic method' presentation slideshows

Linear-time Encodable/Decodable Error-Correcting Codes

Linear-time Encodable/Decodable Error-Correcting Codes . Some results from two papers of M. Sipser and D. Spielman 1. 1 Much of the technical wording within is either taken verbatim or paraphrased from [SS96; S96]; see references. Coding for Low-Power Communication Across Noisy Channels.

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Computational Geometry Seminar

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Tracking with Local Spatio -Temporal Motion Patterns in Extremely Crowded Scenes

Tracking with Local Spatio -Temporal Motion Patterns in Extremely Crowded Scenes. Present by ???. outline. Introduction Previous work Predicting motion patterns Spatio -temporal transition distribution Discerning pedestrians Experimental results conclusion. introduction.

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CSE 780: Design and Analysis of Algorithms

CSE 780: Design and Analysis of Algorithms. Lecture 7: Prob. Analysis Randomized Alg. Expected Complexity. Probabilistic method: Given a distribution for all possible inputs Derive expected time based on distribution Randomized algorithm: Add randomness in the algorithm

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Randomized Algorithms CS648

Randomized Algorithms CS648. Lecture 20 Probabilistic Method (part 1). Probabilistic method . Probabilistic methods . Methods that use Probability theory Randomized algorithm t o prove deterministic combinatorial results. problem 1 How Many min CUTs ? . Min-Cut.

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Randomized Algorithms CS648

Randomized Algorithms CS648. Lecture 23 Probabilistic methods - II. Its solution can be viewed as an application of Probabilistic method. 3-SAT Problem. 3-SAT Problem. Notations : A Boolean variable: a variable that can take value true or false .

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Derandomization

Derandomization. Lecturer : Dr. Hong-Gwa Yeh Department of Mathematics National Central University Taiwan hgyeh@math.ncu.edu.tw. Finding a large independent set via coin tossing. A Tiny Course on Conditional Probability. End of the Tiny Course.

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Complexity Theory Lecture 2

Complexity Theory Lecture 2. Lecturer: Moni Naor. Recap of last week. Computational Complexity Theory: What, Why and How Overview: Turing Machines, Church-Turing Thesis Diagonalization an the Time-Hierarchy (also Space) Communication Complexity Definition of protocol

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Basic geostatistics

Basic geostatistics. Austin Troy. Interpolation. Three methods in Arc GIS. IDW SPLINE Kriging. Inverse Distance Weighting. Weighted moving average Weights by distance Assumes unknown value influenced more by nearby than far away points, but we can control how rate of decay

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Probabilistic Semantic Similarity Measurements for Noisy Short Texts Using Wikipedia Entities

Probabilistic Semantic Similarity Measurements for Noisy Short Texts Using Wikipedia Entities. Masumi Shirakawa 1 , Kotaro Nakayama 2 , Takahiro Hara 1 , Shojiro Nishio 1 1 Osaka University, Osaka, Japan 2 University of Tokyo, Tokyo, Japan. Challenge in short text analysis.

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Fields: Defns

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Derivation of Environmental Radiological Protection Benchmarks a n overview

Derivation of Environmental Radiological Protection Benchmarks a n overview. jacqueline.garnier-laplace@irsn.fr. Definition of benchmarks. These values need to be based on scientific reasoning & be transparent. They correspond to screening values when they are used in screening tiers.

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Discrete Structures CS 280

Discrete Structures CS 280. Example application of probability: MAX 3-SAT. MAX 3-SAT. Consider a propositional logical formula on N Boolean variables in conjunctive normal form (CNF), i.e., a conjunction (logical AND) of disjunctions (logical OR). Example:

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