Back to Results
First PageMeta Content
Statistical models / Bayesian networks / Learning / Expectation–maximization algorithm / Canadian Institute for Advanced Research / Supervised learning / Unsupervised learning / Feature selection / Latent variable / Statistics / Machine learning / Cybernetics


Large-Scale Feature Learning With Spike-and-Slab Sparse Coding Ian J. Goodfellow Aaron Courville Yoshua Bengio DIRO, Universit´e de Montr´eal, Montr´eal, Qu´ebec, Canada
Add to Reading List

Document Date: 2012-06-07 13:20:32


Open Document

File Size: 877,06 KB

Share Result on Facebook

City

Courville / Cambridge / Edinburgh / /

Company

MIT Press / /

Country

Jordan / United Kingdom / Scotland / /

/

Facility

University of Toronto / /

IndustryTerm

intractable networks / element-wise product / energy function / Information processing / ssRBM energy function turns / Deep learning systems / parallel hardware / supervised learning algorithm / good solutions / energy-based model / feature discovery algorithm / feature discovery algorithms / sparse coding algorithm / closed-form solution / em algorithm / curvature matrix-vector products / deconvolutional networks / dynamical systems / learning algorithm / learning algorithms / energy / /

MarketIndex

SET 100 / /

Organization

SC SC / Statistical Assoc. / MIT / University of Toronto / /

Person

Jia / Feature Learning / Spike / Aaron Courville Yoshua Bengio / Parallel Distributed / Ian J. Goodfellow Aaron Courville Yoshua / Huang / /

Position

S3C model / but use intractable exact inference / author / good feature extractor / editor / linear feature extractor / feature extractor / feed-forward / S3C model for unsupervised feature discovery / /

ProgrammingLanguage

L / /

ProvinceOrState

Massachusetts / /

PublishedMedium

Machine Learning / /

Technology

feature discovery algorithm / artificial intelligence / sparse coding algorithm / supervised learning algorithm / closed-form EM algorithm / Machine Learning / EM algorithm / feature discovery algorithms / /

URL

http /

SocialTag