'Computational learning theory' presentation slideshows

HW1: Let us know if you have any questions. (email the TAs) HW2:

HW. I will not have an office hour today (Tue; 9/31). Will have it on Thursday after class. HW1: Let us know if you have any questions. (email the TAs) HW2: There were some issues that we could have defined better. You will always get the benefit of the doubt.

977 views • 85 slides

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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. Ch9 Maximum Margin Classifier. Support vector machine Overlapping class distribution

730 views • 58 slides

Machine Learning CSE 681

Machine Learning CSE 681. CH2 - Supervised Learning Computational learning theory . Computational learning theory . Computational learning theory is a mathematical field related to the analysis of machine learning algorithms. It is actually considered as a field of statistics.

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Limit-Computable Mathematics and its Applications

798 views • 37 slides

Key Challenges for Theoretical Computer Science

Key Challenges for Theoretical Computer Science. Richard M. Karp. NSF, August 31, 2005. What is Theoretical Computer Science ?. TCS applies abstract models and mathematical reasoning to problems related to computation.

372 views • 36 slides

PAC Learning

PAC Learning. 8/5/2005. purpose. Effort to understand negative selection algorithm from totally different aspects Statistics Machine learning What is machine learning, in a very informal way?

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Learning Agents Laboratory Computer Science Department George Mason University

CS 782 Machine Learning. 5. Evaluation of Empirical Inductive Learners. Prof. Gheorghe Tecuci. Learning Agents Laboratory Computer Science Department George Mason University. Overview. Introduction. Computational learning theory. Empirical evaluation: Single partitioning.

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Learning from Observations

Learning from Observations. COMP151 April 20, 2007. Example Problem. Alternate: is there an alternative restaurant nearby? Bar: is there a comfortable bar area to wait in? Fri/Sat: is today Friday or Saturday? Hungry: are we hungry?

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Learning Voting Trees

Learning Voting Trees. Ariel D. Procaccia, Aviv Zohar, Yoni Peleg, Jeffrey S. Rosenschein. Lecture Outline. Voting. PAC. Results. Limitations. Voting and Voting Trees PAC learning Results Limitations. Voting . Voting. PAC. Results. Limitations.

287 views • 13 slides

Alan Turing Celebration Lecture Biological Evolution as a Form of Learning

Alan Turing Celebration Lecture Biological Evolution as a Form of Learning Leslie Valiant, CC and Applied Math., Harvard Wed. Oct 10, 3:30pm, ECS 124

133 views • 4 slides