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118
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GECCO
2008
Springer
126views Optimization» more  GECCO 2008»
15 years 3 months ago
Swarm intelligence in e-learning: a learning object sequencing agent based on competencies
In e-learning initiatives content creators are usually required to arrange a set of learning resources in order to present them in a comprehensive way to the learner. Course mater...
Luis de Marcos, José-Javier Martínez...
144
Voted
AIEDU
2005
106views more  AIEDU 2005»
15 years 2 months ago
A Comparison of Model-Tracing and Constraint-Based Intelligent Tutoring Paradigms
Two approaches to building intelligent tutoring systems are the well-established model-tracing paradigm and the relatively newer constraint-based paradigm. Proponents of the constr...
Viswanathan Kodaganallur, Rob R. Weitz, David Rose...
117
Voted
SPEECH
2011
14 years 9 months ago
Intelligibility predictors and neural representation of speech
Intelligibility predictors tell us a great deal about human speech perception, in particular which acoustic factors strongly effect human behavior, and which do not. A particular...
Bryce E. Lobdell, Jont B. Allen, Mark Hasegawa-Joh...
105
Voted
ICML
2000
IEEE
16 years 3 months ago
Discovering Test Set Regularities in Relational Domains
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
Seán Slattery, Tom M. Mitchell
125
Voted
AGI
2008
15 years 4 months ago
Cognitive Primitives for Automated Learning
Artificial Intelligence deals with the automated simulation of human intelligent behavior. Various aspects of human faculties are tackled using computational models. It is clear th...
Sudharsan Iyengar