[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

 

 [Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

 

 Optional reading: Winston Chapter 20

 

 

 

 Incremental Concept Learning Revisited

 [Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

 

 

 

 

Abstract Version Spaces 

 [Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

 

 

 Visualizing Version Spaces

 [Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

converge

 

 model is thre representation of the world

 

 

 

 Example Food Allergies I

 [Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

 

 

 

 

Identification Trees 

 [Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

decision tree learning

 

 

 

 Optimal Identification Trees

 [Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

 

decision tree lead to more optimal tree, but decision tree has a requirement: need all examples right up front

Discrimination tree (in case-base reasoning) may lead to suboptimal trees, bu you can learn incrementally

 

 

 

[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces

 

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