Kamal Nigam, Rayid Ghani  Home/Search
Context Related
| accenture.com/xdoc/en/services/...6.pdf From: accenture.com/x...rayid_ghani.xml (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: Recently there has been significantinterest in supervised learning algorithms that combine labeled and unlabeled data for text learning tasks. The co-training setting [1] applies to datasets that have a natural separation of their features into two disjoint sets. We demonstrate that when learning from labeled and unlabeled data, algorithms explicitly leveraging a natural independent split of the features outperform algorithms that do not. When a natural split does not exist, co-training... (Update)
Similar documents based on text:
0.6: Analyzing the Effectiveness and Applicability of Co-training - Nigam, Ghani (2000) (Correct)
BibTeX entry: (Update)
Kamal Nigam and Rayid Ghani. 2000. Analyzing the effectiveness and applicability of co-training. In Proc. of Ninth International Conference on Information and Knowledge (CIKM-2000). http://citeseer.ist.psu.edu/nigam00analyzing.html More
@inproceedings{ nigam00analyzing,
author = "Kamal Nigam and Rayid Ghani",
title = "Analyzing the Effectiveness and Applicability of Co-training",
booktitle = "{CIKM}",
pages = "86-93",
year = "2000",
url = "citeseer.ist.psu.edu/nigam00analyzing.html" }
Citations (may not include all citations):2528 Maximum likelihood from incomplete data via the EM algorithm (context) - Dempster, Laird et al. - 1977
180 Combining labeled and unlabeled data with co-training - Blum, Mitchell - 1998
140 Text classification from labeled and unlabeled documents usi.. - Nigam, McCallum et al. - 2000
140 A comparison of event models for naiveBayes text classificat.. - McCallum, Nigam - 1998
130 A probabilistic analysis of the Rocchio algorithm with TFIDF.. - Joachims - 1997
119 Exploiting generative models in discriminative classifiers - Jaakkola, Haussler - 1999
111 Active learning with statistical models - Cohn, Ghahramani et al. - 1996
110 Unsupervised word sense disambiguation rivaling supervised m.. - Yarowsky - 1995
103 at forty: The independence assumption in information retriev.. (context) - Lewis, Bayes - 1998
86 Transductive inference for text classification using support.. - Joachims - 1999
55 Using probabilistic models of document retrieval without rel.. (context) - Croft, Harper - 1979
51 New retrieval approaches using SMART: TREC - Buckley, Singhal et al. - 1996
42 Unsupervised models for named entity classification - Collins, Singer - 1999
35 Employing EM in pool-based active learning for text classifi.. - McCallum, Nigam - 1998
32 Learning dictionaries for information extraction using multi.. - Riloff, Jones - 1999
[Article contains additional citations not shown here]
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.accenture.com/xd/xd.asp?it=enWeb&xd=services%5Ctechnology%5Cpeople%5Crayid_ghani.xml): More
Combining Labeled and Unlabeled Data for MultiClass Text.. - Ghani (2002) (Correct)
A Study of Approaches to Hypertext - Categorization Yiming Yang (Correct)
Under considera tion for publica( on in Knowledgeag.. - Rosiejones And Dunja (2003) (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