PPT-Decision Trees & Rule-based AI
Author : olivia-moreira | Published Date : 2018-10-29
Decision Tree Advantages Fast and easy to implement Simple to understand Modular Reusable Can be learned can be constructed dynamically from observations and
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Decision Trees & Rule-based AI: Transcript
Decision Tree Advantages Fast and easy to implement Simple to understand Modular Reusable Can be learned can be constructed dynamically from observations and actions in game we will discuss this further in a future topic called Learning. T state 8712X action or input 8712U uncertainty or disturbance 8712W dynamics functions XUW8594X w w are independent RVs variation state dependent input space 8712U 8838U is set of allowed actions in state at time brPage 5br Policy action is function Battiti. , Mauro . Brunato. .. The LION Way: Machine Learning . plus. Intelligent Optimization. .. LIONlab. , University of Trento, Italy, . Apr 2015. http://intelligent-optimization.org/LIONbook. trees (cont.). If we pick the adjacent nucleotide, what gene tree do we expect?. A. C. B. A-B coalescence. AB-C coalescence. Split 2. Split 1. If we pick a nucleotide from a distant part of the genome, what gene tree do we expect?. Decision Tree. Advantages. Fast and easy to implement, Simple to understand. Modular, Re-usable. Can be learned . . can be constructed dynamically from observations and actions in game, we will discuss this further in a future topic called ‘Learning’). Training Set:. Play Tennis?. Weak. Rain Mild High Weak No. Rain Mild High Weak No. Decision Trees: Another Example. Training Set:. Play Tennis?. Sunny. Weak. Tandy Warnow. Joint work with . Siavash. . Mirarab. , . Md. S. . Bayzid. , and others. Orangutan. Gorilla. Chimpanzee. Human. From the Tree of the Life Website. ,. . University . of . Arizona. Dates from Lock et al. Nature, 2011. Dr. Halimah Alshehri. 1. Introduction to Trees. DEFINITION 1 . A . tree. is a connected undirected graph with no simple circuits.. Because . a tree cannot have a simple circuit. , . a tree cannot contain multiple edges or loops. Copyright © Andrew W. Moore. Density Estimation – looking ahead. Compare it against the two other major kinds of models:. Regressor. Prediction of. real-valued output. Input. Attributes. Density. Estimator. 1 Administrative Rulemaking: How science becomes law. With examples from the WOTUS rule and the Clean Power Plant rule. Edward P. Richards History of Administrative Law in the United States Administrative Law in the Constitution Sultan Almuhammadi ICS 254: Graphs and Trees 1 Graph & Trees Chapters 10-11 Acknowledgement This is a modified version of Module#22 on Graph Theory by Michael Frank Sultan Almuhammadi ICS 254: Graphs and Trees AVL Trees 1 AVL Trees 6 3 8 4 v z AVL Trees 2 AVL Tree Definition Adelson- Velsky and Landis binary search tree balanced each internal node v the heights of the children of v can differ by at most 1 6. 9. 2. 4. 1. 8. <. >. =. © 2014 Goodrich, Tamassia, Goldwasser. Presentation for use with the textbook . Data Structures and Algorithms in Java, 6. th. edition. , by M. T. Goodrich, R. Tamassia, and M. H. Goldwasser, Wiley, 2014. www.aaaai.org OAAC 522 v2017 Pablo Aldama, Kristina . Vatcheva. , PhD. School of Mathematical & Statistical Sciences, University of Texas Rio Grande Val. ley. Data mining methods, such as decision trees, have become essential in healthcare for detecting fraud and abuse, physicians finding effective treatments for their patients, and patients receiving more affordable healthcare services (.
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