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» Learning and using relational theories
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ITICSE
2006
ACM
15 years 4 months ago
Putting threshold concepts into context in computer science education
This paper describes Threshold Concepts, a theory of learning that distinguishes core concepts whose characteristics can make them troublesome in learning. With an eye to applying...
Anna Eckerdal, Robert McCartney, Jan Erik Mostr&ou...
ASC
2011
14 years 5 months ago
Fuzzy sets in machine learning and data mining
Machine learning, data mining, and several related research areas are concerned with methods for the automated induction of models and the extraction of interesting patterns from ...
Eyke Hüllermeier
ICPR
2010
IEEE
14 years 8 months ago
A Practical Heterogeneous Classifier for Relational Databases
Most enterprise data is distributed in multiple relational databases with expert-designed schema. Using traditional single-table machine learning techniques over such data not onl...
Geetha Manjunath, M. Narasimha Murty, Dinkar Sitar...
ICML
2003
IEEE
15 years 11 months ago
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Gavin Brown, Jeremy L. Wyatt
ICFP
2010
ACM
14 years 11 months ago
The impact of higher-order state and control effects on local relational reasoning
Reasoning about program equivalence is one of the oldest problems in semantics. In recent years, useful techniques have been developed, based on bisimulations and logical relation...
Derek Dreyer, Georg Neis, Lars Birkedal