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AAAI
2008
15 years 6 months ago
Semi-supervised Classification Using Local and Global Regularization
In this paper, we propose a semi-supervised learning (SSL) algorithm based on local and global regularization. In the local regularization part, our algorithm constructs a regular...
Fei Wang, Tao Li, Gang Wang, Changshui Zhang
MMGPS
2003
15 years 5 months ago
The Chatty Web Approach for Global Semantic Agreements
This paper describes a novel approach for obtaining semantic interoperability in a bottom-up, semi-automatic manner without relying on pre-existing, global semantic models. We ass...
Philippe Cudré-Mauroux, Karl Aberer, Manfre...
ICML
2004
IEEE
16 years 5 months ago
Learning large margin classifiers locally and globally
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
IJCAI
2003
15 years 5 months ago
Querying Distributed Data through Distributed Ontologies: A Simple but Scalable Approach
In this paper, we define a simple but scalable framework for peer-to-peer data sharing systems, in which the problem of answering queries over a network of semantically related p...
François Goasdoué, Marie-Christine R...
PKDD
2009
Springer
120views Data Mining» more  PKDD 2009»
15 years 11 months ago
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou...