<--- Back to Details
First PageDocument Content
Science / Machine learning / Connectionism / Hopfield network / Perceptron / Self-organizing map / Feature / Pattern recognition / Hebbian theory / Neural networks / Computational neuroscience / Cybernetics
Date: 2009-01-08 11:44:02
Science
Machine learning
Connectionism
Hopfield network
Perceptron
Self-organizing map
Feature
Pattern recognition
Hebbian theory
Neural networks
Computational neuroscience
Cybernetics

ARTIFICIALINTELLIGENCE 185 Connectionist Learning Procedures Geoffrey E. Hinton

Add to Reading List

Source URL: www.cs.toronto.edu

Download Document from Source Website

File Size: 2,90 MB

Share Document on Facebook

Similar Documents

Analysis of Heart Rate Variability during Meditation by a Pattern Recognition Method Sukanya Phongsuphap* and Yongyuth Pongsupap Ratchathewi, Bangkok, Thailand The main objective of this study is to investigate patterns

DocID: 1vsho - View Document

Computer Vision Winter Workshop 2008, Janez Perˇs (ed.) Moravske Toplice, Slovenia, February 4–6 Slovenian Pattern Recognition Society, Ljubljana, Slovenia A Lower Bound by One-against-all Decomposition for Potts Mode

DocID: 1vs97 - View Document

21st International Conference on Pattern Recognition (ICPRNovember 11-15, 2012. Tsukuba, Japan Position Estimation of Near Point Light Sources using a Clear Hollow Sphere Takahito Aoto† , Takafumi Taketomi† ,

DocID: 1vlr4 - View Document

HYPERCUBE ALGORITHMS FOR IMAGE PROCESSING AND PATTERN RECOGNITION

DocID: 1vl8h - View Document

BMVA British Machine Vision Association and Society for Pattern Recognition Pattern Recognition and Machine Learning in Machine Vision One Day BMVA symposium at the Royal Statistical Society, 12 Errol Street, London, UK

DocID: 1vfN6 - View Document