'Concept class' presentation slideshows

Chapter 9: Cognition

Chapter 9: Cognition. Cognition: Definition of Terms. Cognition: Mentally processing information (images, concepts, etc.); thinking Internal Representation: Mental expression of a problem or situation Concept: Generalized idea representing a class of related objects or events

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How to be a Bayesian without believing

624 views • 41 slides

Chapter 10

Chapter 10. Cognition, Language, and Creativity. Cognition: Definition of Terms. Cognition: Mentally processing information (images, concepts, etc.); thinking Cognitive Psychology: Study of human information processing Internal Representation: Mental expression of a problem or situation

413 views • 41 slides

Chapter 10

Chapter 10. Cognition, Language, and Creativity. Cognition: Definition of Terms. Cognition: Mentally processing information (images, concepts, etc.); thinking Cognitive Psychology: Study of human information processing Internal Representation: Mental expression of a problem or situation

412 views • 41 slides

A Guide

A Guide. Registration Typos in HW1. Today: Take a more general perspective and think more about learning , learning protocols , quantifying performance , etc. This will motivate some of the ideas we will see next. Learning Algorithms

470 views • 40 slides

SKOS A language to describe simple knowledge structures for the web

SKOS A language to describe simple knowledge structures for the web. Semantic Web Best Practices and Deployment. Alistair Miles, CCLRC Brian Matthews, CCLRC Dave Beckett, ILRT Dan Brickley, W3C Michael Wilson, CCLRC Nikki Rogers, ILRT. Supporting material. http://wiki.usefulinc.com/User:Aliman

677 views • 33 slides

Strategy-Proof Classification

Strategy-Proof Classification. Reshef Meir School of Computer Science and Engineering, Hebrew University. A joint work with Ariel. D. Procaccia and Jeffrey S. Rosenschein. Strategy-Proof Classification . Introduction Learning and Classification An Example of Strategic Behavior

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Homework

Homework. H = Axis parallel rectangles in R 2 What is the VC dimension of H Can we PAC learn? Can we efficiently PAC learn?. Learning Rectangles. Consider axis parallel rectangles in the real plane Can we PAC learn it ? (1) What is the VC dimension ?

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Teacher(s):

175 views • 11 slides