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» Generalization Error Bounds Using Unlabeled Data
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SMC
2007
IEEE
120views Control Systems» more  SMC 2007»
15 years 3 months ago
A data-dependent distance measure for transductive instance-based learning
— We consider learning in a transductive setting using instance-based learning (k-NN) and present a method for constructing a data-dependent distance “metric” using both labe...
Jared Lundell, Dan Ventura
SIGIR
2005
ACM
15 years 3 months ago
Automatic web query classification using labeled and unlabeled training data
Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization be...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
AMT
2006
Springer
147views Multimedia» more  AMT 2006»
15 years 1 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
SSDBM
2000
IEEE
168views Database» more  SSDBM 2000»
15 years 1 months ago
pCube: Update-Efficient Online Aggregation with Progressive Feedback and Error Bounds
Multidimensional data cubes are used in large data warehouses as a tool for online aggregation of information. As the number of dimensions increases, supporting efficient queries ...
Mirek Riedewald, Divyakant Agrawal, Amr El Abbadi
ICPR
2004
IEEE
15 years 10 months ago
Relevant Linear Feature Extraction Using Side-information and Unlabeled Data
"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...
Changshui Zhang, Fei Wu, Yonglei Zhou