'Inductive learning hypothesis' presentation slideshows

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????. ?? ?????????????? ??????????. ??????. ??????? chen_yu@pku.edu.cn Tel ? 82529680 ??????? Tel ? 62763742 wataloo@hotmail.com ????? http://www.icst.pku.edu.cn/course/jiqixuexi/jqxx2011.mht. Ch2 Concept Learning & General-to-Specific Ordering. Introduction to concept learning

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Chapter 2 - Concept learning

Chapter 2 - Concept learning. Learning from examples Concept Learning General-to specific ordering of hypotheses Version spaces and candidate elimination algorithm Inductive bias Simple approach Assumption: no noise Illustrates key concepts. Concept learning task.

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Chapter 2 - Concept learning

Chapter 2 - Concept learning. Learning from examples Concept Learning General-to specific ordering of hypotheses Version spaces and candidate elimination algorithm Inductive bias Simple approach Assumption: no noise Illustrates key concepts. Concept learning task.

563 views • 48 slides

2. Concept Learning

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Machine Learning 2D5362

Machine Learning 2D5362. Lecture 2: Concept Learning. Outline. Learning from examples General-to specific ordering of hypotheses Version spaces and candidate elimination algorithm Inductive bias. attributes. instance. Training Examples for Concept Enjoy Sport.

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Machine Learning Chapter 2. Concept Learning and The General-to-specific Ordering

Machine Learning Chapter 2. Concept Learning and The General-to-specific Ordering. Tom M. Mitchell. Outline. Learning from examples General-to-specific ordering over hypotheses Version spaces and candidate elimination algorithm Picking new examples The need for inductive bias

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Lecture 01 of 42

Lecture 01 of 42. Introduction to Machine Learning and the Version Space Formalism. Wednesday, 24 January 2008 William H. Hsu Department of Computing and Information Sciences, KSU KSOL course pages: http://snipurl.com/1y5gc / http://snipurl.com/1y5ih

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