stat340s13: Difference between revisions
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Four Fundamental Problems: | Four Fundamental Problems: | ||
1. Classification | 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 | 2.Regression: Same as classification but in the continuous case | ||
3.Clustering | 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