In Example 13.6 (page 601), some of the features are perfectly correlated (e.g., F6 and F7). Does
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In Example 13.6 (page 601), some of the features are perfectly correlated (e.g., F6 and F7). Does having such correlated features affect what functions are able to be represented? Does it help or hurt the speed at which learning occurs? Test this empirically on some examples.
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Related Book For 
Artificial Intelligence: Foundations Of Computational Agents
ISBN: 9781009258197
3rd Edition
Authors: David L. Poole , Alan K. Mackworth
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