Back to Results
First PageMeta Content
Learning / Artificial intelligence / Boltzmann machine / Supervised learning / Regularization / Autoencoder / Pattern recognition / Overfitting / Machine learning / Neural networks / Statistics


Under review as a conference paper at ICLRN EURAL N ETWORK R EGULARIZATION W EIGHT FACTORIZATION VIA
Add to Reading List

Document Date: 2014-12-30 23:06:44


Open Document

File Size: 472,36 KB

Share Result on Facebook

City

Courville / Oxford / /

Company

Neural Information Processing Systems / LG / GPU / Clarendon Press / /

/

Facility

Van Camp / University of Toronto / Theano library / Engineering University of Guelph Guelph / /

IndustryTerm

classical feed forward network / sparse rectifier networks / deep belief networks / machine learning algorithms / mean network / layer linear networks / energy-based model / sub-network / elegant and simple solution / noisy networks / sub-networks / feedforward networks / Recent applications / parallel networks / average mean network / /

Organization

Royal Statistical Society / Engineering University of Guelph Guelph / Jiwoong Im & Graham W. Taylor School / University of Toronto / Computer Science Department / Pattern Analysis and Machine Intelligence / /

Person

Christopher M. Pattern / Ryan P. Practical / Ruslan R. Improving / Geoffrey E. Learning / Andrew Y. Sparse / Rn ×n / V / Rf ×n / V / Geoffrey E. Imagenet / Hui Yuan / Geoffrey E. Factored / Equation / Daniel Jiwoong Im / Jan Rudy / /

Position

Bishop / gated model / model for each training example and epoch / single mean model at test time / deep belief net model for visual area v2 / /

ProgrammingLanguage

Python / /

PublishedMedium

Journal of the Royal Statistical Society / The Journal of Machine Learning Research / /

Technology

machine learning algorithms / neural network / artificial intelligence / machine learning / /

SocialTag