<--- Back to Details
First PageDocument Content
JSTOR / Publishing / Education / IP address / Massachusetts Institute of Technology / Block / Academia / Andrew W. Mellon Foundation / Academic publishing
Date: 2013-07-25 17:12:58
JSTOR
Publishing
Education
IP address
Massachusetts Institute of Technology
Block
Academia
Andrew W. Mellon Foundation
Academic publishing

Add to Reading List

Source URL: docs.jstor.org

Download Document from Source Website

File Size: 80,29 KB

Share Document on Facebook

Similar Documents

Machine learning / Semi-supervised learning / Labeled data / Supervised learning

Estimating the strength of unlabeled information during semi-supervised learning Brenden M. Lake () Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology James L. McClelland (m

DocID: 1xVKT - View Document

Economy / Social inequality / Demand / Elasticity / Income elasticity of demand / Poverty / Economic inequality / Income tax in the United States / Production / Per capita income / G factor / Permanent income hypothesis

Changes in the Wage Structure, Family Income, and Children’s Education¤ Daron Acemoglu Massachusetts Institute of Technology Jörn-Ste¤en Pischke

DocID: 1xUxr - View Document

Languages of East Asia / Artificial neural networks / Chinese characters / Korean language / Languages of Asia / Artificial intelligence / Market research / Stroke / One-shot learning / Deep learning / MNIST database / Symbol

One shot learning of simple visual concepts Brenden M. Lake, Ruslan Salakhutdinov, Jason Gross, and Joshua B. Tenenbaum Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Abstract

DocID: 1xU3w - View Document

Machine learning / Artificial intelligence / Learning / Mathematics / Sparse approximation / Semantic memory / Regularization / Supervised learning / Semantic network / Sparse matrix / Dense graph

Discovering Structure by Learning Sparse Graphs Brenden M. Lake and Joshua B. Tenenbaum Department of Brain and Cognitive Sciences Massachusetts Institute of Technology {brenden, jbt}@mit.edu Abstract

DocID: 1xTYe - View Document

Control theory / Systems science / Automated planning and scheduling / Classical control theory / Metaphysics / Mathematical optimization / Systems theory / Nonlinear system / Planning Domain Definition Language / Motion planning / Controllability / Trajectory optimization

Mixed Discrete-Continuous Planning with Complex Behaviors Enrique Fernandez-Gonzalez Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory 32 Vassar Street, Building, Cambri

DocID: 1xTdC - View Document