Labeled data

Results: 83



#Item
31Data analysis / Probability theory / Expectation–maximization algorithm / Variance / Statistics / Estimation theory / Central limit theorem

A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data: Supplementary Material Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, Univers

Add to Reading List

Source URL: cseweb.ucsd.edu

Language: English - Date: 2015-02-25 18:37:19
32Estimation theory / Learning / Statistical theory / Semi-supervised learning / Expectation–maximization algorithm / Supervised learning / Support vector machine / Maximum likelihood / Stability / Statistics / Machine learning / Statistical classification

A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, University of California, San D

Add to Reading List

Source URL: cseweb.ucsd.edu

Language: English - Date: 2014-02-24 20:30:41
33Semi-supervised learning / Support vector machine / Expectation–maximization algorithm / Supervised learning / Mixture model / Logarithm / Statistics / Machine learning / Computational statistics

A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data Do-kyum Kim, Matthew Der, and Lawrence K. Saul UC San Diego 1.  Overview  

Add to Reading List

Source URL: cseweb.ucsd.edu

Language: English - Date: 2015-03-01 20:28:42
34Data analysis / Probability theory / Expectation–maximization algorithm / Variance / Statistics / Estimation theory / Central limit theorem

A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data: Supplementary Material Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, Univers

Add to Reading List

Source URL: cseweb.ucsd.edu

Language: English - Date: 2014-02-24 20:30:41
35Estimation theory / Learning / Statistical theory / Semi-supervised learning / Expectation–maximization algorithm / Supervised learning / Support vector machine / Maximum likelihood / Stability / Statistics / Machine learning / Statistical classification

A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, University of California, San D

Add to Reading List

Source URL: cseweb.ucsd.edu

Language: English
36Statistical classification / Discrete geometry / Diagrams / Data mining / Support vector machine / Voronoi diagram / Cross-validation / Nearest neighbor search / Thematic map / Statistics / Information science / Machine learning

Learning Approximate Thematic Maps from Labeled Geospatial Data M. Sharifzadeh, C. Shahabi & C. A. Knoblock Computer Science Department and Information Sciences Institute University of Southern California Los Angeles, Ca

Add to Reading List

Source URL: infolab.usc.edu

Language: English - Date: 2009-11-05 01:09:05
37Environmental law / Health sciences / Industrial hygiene / Safety engineering / Dangerous goods / Material safety data sheet / Toxic Substances Control Act / Dangerous Substances Directive / California Proposition 65 / Safety / Health / Occupational safety and health

MATERIAL SAFETY DATA SHEET 1. Product identification TRADE NAME (AS LABELED): AMERICANA DECOR CHALKY FINISH

Add to Reading List

Source URL: www.homedepot.com

Language: English - Date: 2013-12-20 22:59:12
38Maximum likelihood / Kullback–Leibler divergence / M-estimator / Likelihood function / Reinforcement learning / Divergence / Multi-armed bandit / Marginal likelihood / Extremum estimator / Statistics / Estimation theory / Expectation–maximization algorithm

Expectation Maximization for Weakly Labeled Data Yuri Ivanov MIT Media Laboratory, 20 Ames St., E15-390, Cambridge, MA 02139, USA

Add to Reading List

Source URL: characters.media.mit.edu

Language: English - Date: 2003-06-30 17:21:48
39Radio-frequency identification / Ubiquitous computing / Wireless / Antenna / Electronic engineering / Telecommunications engineering / Barcode / Automatic identification and data capture / Technology / Privacy

Proximity Reader 13,56 MHz Fact Sheet - English Proximity Reader 13,56 MHz Replacing barcode scanners the staff station functionally replaces the barcode scanner. the unit enables staff to identify all rfid-labeled item

Add to Reading List

Source URL: www.nedaplibrary.com

Language: English - Date: 2014-10-13 11:17:41
40Data management / Algebraic topology / Information / Science / Gain / Support / Sheaf / Data / Data mining / Information retrieval / Association rule learning

Journal of Machine Learning Research Submitted 12/06; Revised 11/07; Published 4/08 Closed Sets for Labeled Data Gemma C. Garriga

Add to Reading List

Source URL: www-ai.ijs.si

Language: English - Date: 2013-03-25 06:34:15
UPDATE