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Irrelevant attributes - PowerPoint PPT Presentation

Data Engineering Data preprocessing and transformation

Data Engineering Data preprocessing and transformation. Just apply a learner? No!. Algorithms are biased No free lunch theorem: considering all possible data distributions, no algorithm is better than another Algorithms make assumptions about data

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505 views • 34 slides

Instance-Based Learning

Instance-Based Learning. By Dong Xu State Key Lab of CAD&CG, ZJU. Overview. Learning Phase Simply store the presented training examples. Query Phase Retrieve similar related instances. Construct local approximation. Report the function value at query point.

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376 views • 27 slides

CS 4700: Foundations of Artificial Intelligence

CS 4700: Foundations of Artificial Intelligence. Carla P. Gomes gomes@cs.cornell.edu Module: Nearest Neighbor Models (Reading: Chapter 20.4). 1-Nearest Neighbor. One of the simplest of all machine learning classifiers Simple idea: label a new point the same as the closest known point.

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194 views • 9 slides

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'Irrelevant attributes' diaporamas de présentation

Irrelevant attributes - PowerPoint PPT Presentation

Data Engineering Data preprocessing and transformation

Instance-Based Learning

CS 4700: Foundations of Artificial Intelligence