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ECML
2005
Springer
15 years 10 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
ACE
2004
188views Education» more  ACE 2004»
15 years 5 months ago
A Computing Education Vision for the Sight Impaired
Vision is the main sensory modality employed in learning. Teaching materials in the areas of information technology and computer engineering are highly visual in nature and vision...
Iain Murray, Helen Armstrong
ML
2006
ACM
105views Machine Learning» more  ML 2006»
15 years 4 months ago
Propositionalization-based relational subgroup discovery with RSD
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
Filip Zelezný, Nada Lavrac
ML
2002
ACM
128views Machine Learning» more  ML 2002»
15 years 4 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
ETS
2006
IEEE
119views Hardware» more  ETS 2006»
15 years 4 months ago
An Ontology-Based Framework for Bridging Learning Design and Learning Content
The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and dev...
Colin Knight, Dragan Gasevic, Griff Richards