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ICDM
2003
IEEE
128views Data Mining» more  ICDM 2003»
9 years 10 months ago
Building Text Classifiers Using Positive and Unlabeled Examples
Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip...
IJCAI
2003
9 years 6 months ago
Learning to Classify Texts Using Positive and Unlabeled Data
In traditional text classification, a classifier is built using labeled training documents of every class. This paper studies a different problem. Given a set P of documents of a ...
Xiaoli Li, Bing Liu
AMT
2006
Springer
147views Multimedia» more  AMT 2006»
9 years 9 months ago
Semi-Supervised Text Classification Using Positive and Unlabeled Data
Text classification using positive and unlabeled data refers to the problem of building text classifier using positive documents (P) of one class and unlabeled documents (U) of man...
Shuang Yu, Xueyuan Zhou, Chunping Li
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
10 years 5 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
ICML
2003
IEEE
10 years 6 months ago
Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression
The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the problem into a problem of learning with noise by labelin...
Wee Sun Lee, Bing Liu
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