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» Bias Learning, Knowledge Sharing
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ICALT
2006
IEEE
13 years 11 months ago
Sharing Knowledge in Adaptive Learning Systems
In this paper we deal with knowledge representation in the area of learning design and adaptive learning. Specification of concrete instances is usually context-dependent and does...
Milos Kravcik, Dragan Gasevic
IWINAC
2007
Springer
13 years 11 months ago
Requirements for Machine Lifelong Learning
A significant advance in inductive modelling are systems that retain learned knowledge and selectively transfer portions of that knowledge as a source of inductive bias. We defi...
Daniel L. Silver, Ryan Poirier
CE
2006
118views more  CE 2006»
13 years 5 months ago
Analyzing collaborative interactions: divergence, shared understanding and construction of knowledge
One of the most important facets of collaborative learning is the interaction between individual and collaborative learning activities
Sadhana Puntambekar
IJCAI
2007
13 years 6 months ago
Transferring Learned Control-Knowledge between Planners
As any other problem solving task that employs search, AI Planning needs heuristics to efficiently guide the problem-space exploration. Machine learning (ML) provides several tec...
Susana Fernández, Ricardo Aler, Daniel Borr...
ECTEL
2006
Springer
13 years 8 months ago
Towards a Holistic Personalised Support for Knowledge Sharing in Virtual Learning Communities
Virtual learning communities bring together people from diverse backgrounds and provide the basis for knowledge construction and sharing. Important processes for the community to f...
Styliani Kleanthous, Vania Dimitrova