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CS 59000 Statistical Machine learning Lecture 3

CS 59000 Statistical Machine learning Lecture 3

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1.24k views • 102 slides
New Insights into Semidefinite Programming for Discrete Optimization

New Insights into Semidefinite Programming for Discrete Optimization

New Insights into Semidefinite Programming for Discrete Optimization. Moses Charikar Princeton University. Optimization Problems. Shortest paths Minimum cost network Scheduling, Load balancing Graph partitioning problems Constraint satisfaction problems. Approximation Algorithms.

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581 views • 41 slides
New Insights into Semidefinite Programming for Combinatorial Optimization

New Insights into Semidefinite Programming for Combinatorial Optimization

New Insights into Semidefinite Programming for Combinatorial Optimization. Moses Charikar Princeton University. Optimization Problems. Shortest paths Minimum cost network Scheduling, Load balancing Graph partitioning problems Constraint satisfaction problems. Approximation Algorithms.

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555 views • 41 slides
Statistic estimation over data stream

Statistic estimation over data stream

Statistic estimation over data stream. Slides modified from Minos Garofalakis ( yahoo! research) and S. Muthukrishnan (Rutgers University). Outline. Introduction Frequent moment estimation Element Frequency estimation. Data Stream Processing Algorithms.

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590 views • 41 slides
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431 views • 33 slides
Bayesian Networks

Bayesian Networks

Bayesian Networks. Material used Halpern: Reasoning about Uncertainty. Chapter 4 Stuart Russell and Peter Norvig: Artificial Intelligence: A Modern Approach 1 Random variables 2 Probabilistic independence 3 Belief networks 4 Global and local semantics 5 Constructing belief networks

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550 views • 24 slides
Monte Carlo simulation

Monte Carlo simulation

Monte Carlo simulation. Gil McVean, Department of Statistics Thursday February 12 th 2009. Simulating random variables. Often we wish to simulate random variables from a given distribution Explore properties of the distribution Assess properties of estimators Check model fit

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229 views • 11 slides
Chapter 2 Random Variables and Their Distributions

Chapter 2 Random Variables and Their Distributions

Chapter 2 Random Variables and Their Distributions. 2.1 Random Variables. 2.1 Random variables.

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86 views • 3 slides

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