Difference between revisions of "stat340s13"

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m (Computer Simulation of Complex Systems (Stat 340 - Spring 2013))
(Computer Simulation of Complex Systems (Stat 340 - Spring 2013))
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Four Fundamental Problems:
 
Four Fundamental Problems:
  
1. Classification
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1. Classification: Given an input object X, we have a function which will take in this input X and identity which 'class (Y)' it belongs to. (Discrete Case)
2.Regression
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2.Regression: Same as classification but in the continuous case
3.Clustering
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3.Clustering: Use common features of objects in same class or group to form clusters.
 
4. Dimensionality Reduction
 
4. Dimensionality Reduction
  
 
Main Applications: Computer Vision, Computer Graphics, Finance (fraud detection), Machine Learning
 
Main Applications: Computer Vision, Computer Graphics, Finance (fraud detection), Machine Learning

Revision as of 05:57, 9 May 2013

Computer Simulation of Complex Systems (Stat 340 - Spring 2013)

Introduction

Four Fundamental Problems:

1. Classification: Given an input object X, we have a function which will take in this input X and identity which 'class (Y)' it belongs to. (Discrete Case) 2.Regression: Same as classification but in the continuous case 3.Clustering: Use common features of objects in same class or group to form clusters. 4. Dimensionality Reduction

Main Applications: Computer Vision, Computer Graphics, Finance (fraud detection), Machine Learning