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ICML
2009
IEEE
16 years 4 months ago
Learning non-redundant codebooks for classifying complex objects
Codebook-based representations are widely employed in the classification of complex objects such as images and documents. Most previous codebook-based methods construct a single c...
Wei Zhang, Akshat Surve, Xiaoli Fern, Thomas G. Di...
ICML
2001
IEEE
16 years 4 months ago
Toward Optimal Active Learning through Sampling Estimation of Error Reduction
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other popular techniques that instead aim to reduce versio...
Nicholas Roy, Andrew McCallum
ICALT
2006
IEEE
15 years 10 months ago
Reusing Learning Resources based on Semantic Web Technologies
Reusing existing web resources for e-learning is a very promising and highly promoted idea in the research field of web-based education, especially for intelligent or adaptive sys...
Sylvain Dehors, Catherine Faron-Zucker
ECML
2001
Springer
15 years 8 months ago
A Framework for Learning Rules from Multiple Instance Data
Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...
Yann Chevaleyre, Jean-Daniel Zucker
ICALT
2007
IEEE
15 years 4 months ago
Cognitive Trait Model and Divergent Associative Learning
Cognitive trait model (CTM) is a student model that aims to create profiles of learners’ cognitive traits. Divergent associative learning (DAL) denotes the characteristic of lea...
Taiyu Lin, Kinshuk, Sabine Graf