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» A Framework for Multiple-Instance Learning
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STACS
1999
Springer
14 years 4 days ago
A Complete and Tight Average-Case Analysis of Learning Monomials
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
Rüdiger Reischuk, Thomas Zeugmann
ECTEL
2008
Springer
13 years 9 months ago
A Supporting Architecture for Generic Service Integration in IMS Learning Design
Abstract. Learning Design offers the possibility of capturing the process, activities, user organization and resources used in a learning experience. But a wider set of scenarios a...
Luis de la Fuente Valentín, Yongwu Miao, Ab...
ICML
2007
IEEE
14 years 8 months ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu
ICCV
2007
IEEE
14 years 9 months ago
Spectral Regression for Efficient Regularized Subspace Learning
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
Deng Cai, Xiaofei He, Jiawei Han
CNL
2009
13 years 9 months ago
An Evaluation Framework for Controlled Natural Languages
This paper presents a general framework called ontographs that relies on a graphical notation and enables the tool-independent and reliable evaluation of human understandability of...
Tobias Kuhn