Machine Learning Chapter 10. Learning Sets of Rules Tom M
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Last updated 06 julho 2024
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3 Sequential Covering Algorithm SEQUENTIAL- COVERING (Target attribute; Attributes; Examples; Threshold) Learned rules {} Rule LEARN-ONE- RULE(Target_attribute, Attributes, Examples) while PERFORMANCE (Rule, Examples) > Threshold, do –Learned_rules Learned_rules + Rule –Examples Examples – {examples correctly classified by Rule } –Rule LEARN-ONE- RULE ( Target_attribute, Attributes, Examples ) –Learned_rules sort Learned_rules accord to PERFORMANCE over Examples –return Learned_rules
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Chapter 2 — Concept Learning — Part 2, by Pralhad Teggi
Artificial intelligence, Machine learning, Deep learning
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Recent advances and applications of machine learning in solid
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CS 5751 Machine Learning Chapter 10 Learning Sets of Rules1
When Machine Learning and Deep Learning Come to the Big Data in
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Applied Sciences, Free Full-Text
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PPT - Chapter 10 Learning Sets Of Rules PowerPoint Presentation
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Book Summary: Atomic Habits by James Clear
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PPT - Chapter 10 Learning Sets Of Rules PowerPoint Presentation
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Understanding deep learning in land use classification based on
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