<--- Back to Details
First PageDocument Content
Machine learning / Semi-supervised learning / Labeled data / Supervised learning
Date: 2011-05-20 18:34:42
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

Add to Reading List

Source URL: cims.nyu.edu

Download Document from Source Website

File Size: 417,60 KB

Share Document on Facebook

Similar Documents

My Vision NoTaking Up the Challenge of the Fourth Industrial Revolution Rapid technological innovation centering on IoT, Big Data and AI, which is being labeled the “Fourth

My Vision NoTaking Up the Challenge of the Fourth Industrial Revolution Rapid technological innovation centering on IoT, Big Data and AI, which is being labeled the “Fourth

DocID: 1votm - View Document

quotemedia Corporate Profile QuoteMedia, Inc. is a leading data provider, Internet software developer, data aggregator, and syndicator of unique, private labeled financial content and streaming financial data solutions t

quotemedia Corporate Profile QuoteMedia, Inc. is a leading data provider, Internet software developer, data aggregator, and syndicator of unique, private labeled financial content and streaming financial data solutions t

DocID: 1uohv - View Document

quotemedia Corporate Profile QuoteMedia, Inc. is a leading data provider, Internet software developer, data aggregator, and syndicator of unique, private labeled financial content and streaming financial data solutions t

quotemedia Corporate Profile QuoteMedia, Inc. is a leading data provider, Internet software developer, data aggregator, and syndicator of unique, private labeled financial content and streaming financial data solutions t

DocID: 1ueMF - View Document

Learning the Structure of Generative Models without Labeled Data  Stephen H. Bach 1 Bryan He 1 Alexander Ratner 1 Christopher R´e 1 Abstract Curating labeled training data has become the

Learning the Structure of Generative Models without Labeled Data Stephen H. Bach 1 Bryan He 1 Alexander Ratner 1 Christopher R´e 1 Abstract Curating labeled training data has become the

DocID: 1tO4Y - View Document

Learning 3D Part Detection from Sparsely Labeled Data: Supplemental Material Ameesh Makadia Google New York, NY 10011

Learning 3D Part Detection from Sparsely Labeled Data: Supplemental Material Ameesh Makadia Google New York, NY 10011

DocID: 1tMFT - View Document