Back to Results
First PageMeta Content
Artificial intelligence / Search algorithms / Dimension reduction / Neighbourhood components analysis / K-nearest neighbor algorithm / Statistical classification / Nonlinear dimensionality reduction / Large margin nearest neighbor / Supervised learning / Statistics / Machine learning / Multivariate statistics


Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning Daniel Tarlow† Microsoft Research Cambridge
Add to Reading List

Document Date: 2013-05-09 17:55:22


Open Document

File Size: 2,04 MB

Share Result on Facebook

City

Atlanta / New York / /

Company

Neural Information Processing Systems / GE / RCA / Google Inc. / /

Country

United States / /

/

Facility

Richard S. Zemel University of Toronto Abstract Neighborhood Components Analysis / Carnegie Mellon University / Laurent Charlin University / University of Toronto / Tilburg University / /

IndustryTerm

energy function / follow-up applications / isomap algorithm / computing / kNN algorithms / energy / /

NaturalFeature

Random forests / /

Organization

University of Toronto Abstract Neighborhood Components Analysis / Carnegie Mellon University / Tilburg University / U.S. Securities and Exchange Commission / University of Toronto / /

Person

Jason J. Random / Kevin Swersky / Sam T. Metric / Brendan J. Fast / Silva / V / Sam T. Stochastic / Laurent Charlin / Jason V / van der Maaten / Daniel Tarlow / Lawrence K. Nonlinear / Ilya Sutskever / /

Position

author / /

Product

Pentax K-x Digital Camera / /

ProgrammingLanguage

RC / /

ProvinceOrState

New York / Georgia / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / /

Technology

kNN algorithms / artificial intelligence / alternative algorithm / J. C. The isomap algorithm / Data Mining / machine learning / Maximally Collapsing Metric Learning algorithm / /

SocialTag