13-anns - Restaurant Data Set Foundations of Artificial Intelligence Neural Networks CS472 Fall 2007 Thorsten Joachims Limited Expressiveness of

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1 Foundations of Artificial Intelligence Neural Networks CS472 – Fall 2007 Thorsten Joachims Restaurant Data Set Limited Expressiveness of Perceptrons • Minsky and Papert (1969) showed certain simple functions cannot be represented (e.g. Boolean XOR). Killed the field! •M i d 8 0 th : Non-linear Neural Networks (Rumelhart et al. 1986) Neural Networks • Rich history, starting in the early forties (McCulloch and Pitts 1943). •T w o v i e w s : Modeling the brain “Just” representation of complex functions (Continuous; contrast decision trees) • Much progress on both fronts. • Drawn interest from: Neuroscience, Cognitive science, AI, Physics, Statistics, and CS/EE. Neuron Why Neural Nets? Motivation:
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2 Connectionist Models of Learning Characterized by: A large number of very simple neuron-like processing
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This note was uploaded on 02/19/2008 for the course CS 4700 taught by Professor Joachims during the Fall '07 term at Cornell University (Engineering School).

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13-anns - Restaurant Data Set Foundations of Artificial Intelligence Neural Networks CS472 Fall 2007 Thorsten Joachims Limited Expressiveness of

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