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SDM
2008
SIAM
114views Data Mining» more  SDM 2008»
15 years 5 months ago
Semi-Supervised Classification with Universum
The Universum data, defined as a collection of "nonexamples" that do not belong to any class of interest, have been shown to encode some prior knowledge by representing ...
Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhan...
ICML
2009
IEEE
16 years 5 months ago
Graph construction and b-matching for semi-supervised learning
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
Tony Jebara, Jun Wang, Shih-Fu Chang
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 4 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias
CVPR
2005
IEEE
15 years 10 months ago
Mapping Low-Level Features to High-Level Semantic Concepts in Region-Based Image Retrieval
In this a novel supervised learning method is proposed to map low-level visualfeatures to high-level semantic conceptsfor region-based image retrieval. The contributions of thispa...
Wei Jiang, Kap Luk Chan, Mingjing Li, HongJiang Zh...
KNINVI
2005
Springer
15 years 9 months ago
Digital Concept Maps for Managing Knowledge and Information
Abstract. Due to the increasing amount and complexity of knowledge and information in many domains, students who self-regulate their study in e-learning scenarios often suffer from...
Sigmar-Olaf Tergan