<--- Back to Details
First PageDocument Content
Machine learning / Statistical classification / Artificial intelligence / Learning / Support vector machine / Pattern recognition / Supervised learning / Linear classifier / Naive Bayes classifier / Generalization error / Document classification
Date: 2013-07-08 06:03:55
Machine learning
Statistical classification
Artificial intelligence
Learning
Support vector machine
Pattern recognition
Supervised learning
Linear classifier
Naive Bayes classifier
Generalization error
Document classification

Towards Anytime Active Learning: Interrupting Experts to Reduce Annotation Costs Maria E. Ramirez-Loaiza Aron Culotta

Add to Reading List

Source URL: poloclub.gatech.edu

Download Document from Source Website

File Size: 2,91 MB

Share Document on Facebook

Similar Documents

¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool

¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool

DocID: 1roMm - View Document

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING  1 Multi-Dimensional Classification with Super-Classes Jesse Read, Concha Bielza, Member, IEEE, Pedro Larra˜naga, Member, IEEE,

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1 Multi-Dimensional Classification with Super-Classes Jesse Read, Concha Bielza, Member, IEEE, Pedro Larra˜naga, Member, IEEE,

DocID: 1rnBc - View Document

Air pollution prediction via multi-label classification Giorgio Corani and Mauro Scanagatta Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA) Scuola universitaria professionale della Svizzera italiana

Air pollution prediction via multi-label classification Giorgio Corani and Mauro Scanagatta Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA) Scuola universitaria professionale della Svizzera italiana

DocID: 1rh6r - View Document

A Few Useful Things to Know about Machine Learning Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA, U.S.A.

A Few Useful Things to Know about Machine Learning Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA, U.S.A.

DocID: 1rgDn - View Document

Streaming Multi-label Classification Jesse Read† , Albert Bifet, Geoff Holmes, Bernhard Pfahringer University of Waikato, Hamilton, New Zealand †

Streaming Multi-label Classification Jesse Read† , Albert Bifet, Geoff Holmes, Bernhard Pfahringer University of Waikato, Hamilton, New Zealand †

DocID: 1rdzt - View Document