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» Classification of unlabeled point sets using ANSIG
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ICML
2003
IEEE
15 years 10 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
ICPR
2010
IEEE
14 years 7 months ago
Enhancing Web Page Classification via Local Co-training
Abstract--In this paper we propose a new multi-view semisupervised learning algorithm called Local Co-Training (LCT). The proposed algorithm employs a set of local models with vect...
Youtian Du, Xiaohong Guan, Zhongmin Cai
IJCAI
2007
14 years 11 months ago
Learning to Identify Unexpected Instances in the Test Set
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
Xiaoli Li, Bing Liu, See-Kiong Ng
EMNLP
2010
14 years 7 months ago
A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
PAMI
2012
12 years 12 months ago
Face Recognition Using Sparse Approximated Nearest Points between Image Sets
—We propose an efficient and robust solution for image set classification. A joint representation of an image set is proposed which includes the image samples of the set and thei...
Yiqun Hu, Ajmal S. Mian, Robyn A. Owens