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CASCON
2001
148views Education» more  CASCON 2001»
14 years 10 months ago
Email classification with co-training
The main problems in text classification are lack of labeled data, as well as the cost of labeling the unlabeled data. We address these problems by exploring co-training - an algo...
Svetlana Kiritchenko, Stan Matwin
NIPS
2001
14 years 10 months ago
Reducing multiclass to binary by coupling probability estimates
This paper presents a method for obtaining class membership probability estimates for multiclass classification problems by coupling the probability estimates produced by binary c...
B. Zadrozny
AAAI
2007
14 years 11 months ago
The Impact of Time on the Accuracy of Sentiment Classifiers Created from a Web Log Corpus
We investigate the impact of time on the predictability of sentiment classification research for models created from web logs. We show that sentiment classifiers are time dependen...
Kathleen T. Durant, Michael D. Smith
AI
2010
Springer
14 years 4 months ago
Robustness of Classifiers to Changing Environments
Abstract. In this paper, we test some of the most commonly used classifiers to identify which ones are the most robust to changing environments. The environment may change over tim...
Houman Abbasian, Chris Drummond, Nathalie Japkowic...
AAAI
1998
14 years 10 months ago
Learning to Classify Text from Labeled and Unlabeled Documents
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...