from Positive and Unlabeled Examples Francois Denis fdenis@cmi.univ-mrs.fr...  Home/Search
Context
Related
| grappa.univlille3.fr/ft...icmlws03.pdf Cached: PDF PS.gz PS Image Update Help From: grappa.univlil...auteur=MOSTRARE (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: In the general framework of semi-supervised learning from labeled and unlabeled data, we consider the specific problem of learning from a pool of positive data, without any negative data but with the help of unlabeled data. (Update)
Similar documents based on text:
0.4: Text Classi cation from Positive and Unlabeled Examples - Franois Denis Quipe (Correct)
BibTeX entry: (Update)
@misc{ and-text,
author = "From Positive And",
title = "Text Classification and Co-training",
url = "citeseer.ist.psu.edu/716088.html" }
Citations not processed or no citations identified.
Documents on the same site (http://www.grappa.univ-lille3.fr/bibtex/listepublis.php3?auteur=MOSTRARE): More
Learning Node Selecting Tree Transducer - From Completely Annotated (Correct)
A New Algorithm for Normal Dominance Constraints - Manuel Bodirsky Denys (2004) (Correct)
When Ambients Cannot be Opened Iovka Boneva and Jean-Marc.. - Boneva Talbot Lifl (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC