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ICPR
2008
IEEE
15 years 8 months ago
Transductive optimal component analysis
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
Yuhua Zhu, Yiming Wu, Xiuwen Liu, Washington Mio
IAT
2006
IEEE
15 years 8 months ago
Ontology-Based Content Management and Access Framework for Supporting E-Learning Systems
E-Learning is a fast, just-in-time, and non-linear learning process, which is now widely applied in distributed and dynamic environments such as on the World Wide Web. However, it...
Ming Mao, Yefei Peng, Daqing He
ECML
2005
Springer
15 years 8 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
ACCV
2009
Springer
15 years 6 months ago
Efficient Classification of Images with Taxonomies
We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
Alexander Binder, Motoaki Kawanabe, Ulf Brefeld
AAAI
2000
15 years 3 months ago
A Quantitative Study of Small Disjuncts
Systems that learn from examples often express the learned concept in the form of a disjunctive description. Disjuncts that correctly classify few training examples are known as s...
Gary M. Weiss, Haym Hirsh