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PAKDD
2004
ACM
96views Data Mining» more  PAKDD 2004»
15 years 5 months ago
Spectral Energy Minimization for Semi-supervised Learning
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
Chun Hung Li, Zhi-Li Wu
KDD
2008
ACM
207views Data Mining» more  KDD 2008»
16 years 4 days ago
Active learning with direct query construction
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
Charles X. Ling, Jun Du
ECIR
2003
Springer
15 years 1 months ago
Representative Sampling for Text Classification Using Support Vector Machines
In order to reduce human efforts, there has been increasing interest in applying active learning for training text classifiers. This paper describes a straightforward active learni...
Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi W...
CLEF
2009
Springer
14 years 9 months ago
Overview of VideoCLEF 2009: New Perspectives on Speech-Based Multimedia Content Enrichment
VideoCLEF 2009 offered three tasks related to enriching video content for improved multimedia access in a multilingual environment. For each task, video data (Dutch-language telev...
Martha Larson, Eamonn Newman, Gareth J. F. Jones
PKDD
2007
Springer
141views Data Mining» more  PKDD 2007»
15 years 5 months ago
Automatic Hidden Web Database Classification
In this paper, a method for automatic classification of Hidden-Web databases is addressed. In our approach, the classification tree for Hidden Web databases is constructed by tailo...
Zhiguo Gong, Jingbai Zhang, Qian Liu