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FLAIRS
2007
15 years 9 months ago
Context-Sensitive MTL Networks for Machine Lifelong Learning
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
Daniel L. Silver, Ryan Poirier
IJCAI
2007
15 years 8 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
IADIS
2004
15 years 8 months ago
Designing a personalized E-learning experience using learning objects
This paper aims to provide an experimental vision of the process of course creation using learning objects obtained in the <e-aula> project, a pilot e-learning system concei...
Pilar Sancho, Borja Manero, Baltasar Fernán...
GECCO
2008
Springer
126views Optimization» more  GECCO 2008»
15 years 7 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...
CE
2007
99views more  CE 2007»
15 years 6 months ago
Contextual learning theory: Concrete form and a software prototype to improve early education
In Ôcontextual learning theoryÕ three types of contextual conditions (differentiation of learning procedures and materials, integrated ICT support, and improvement of developme...
Ton Mooij