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» Learning to Transfer Knowledge between Reference Systems
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AIED
2009
Springer
15 years 4 months ago
The Relationship Between Modality and Metacognition While Interacting with AutoTutor
In this paper we explored the relationship between metacognitive statements and learning gains with students’ typed and spoken interactions with an intelligent tutoring system, c...
Jeremiah Sullins, Moongee Jeon, Sidney K. D'Mello,...
FLAIRS
2007
14 years 11 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
ARES
1998
Springer
15 years 1 months ago
The Relation Between the Product Line Development Entry Points and Reengineering
The product line for software systems (PL) approach has been touted recently as one of the most promising development approach for gains in product quality, time to market and cost...
Jean-Marc DeBaud, Jean-Francois Girard
TSMC
2002
128views more  TSMC 2002»
14 years 9 months ago
Imitation with ALICE: learning to imitate corresponding actions across dissimilar embodiments
Imitation is a powerful mechanism whereby knowledge may be transferred between agents (both biological and artificial). Key problems on the topic of imitation have emerged in vario...
Aris Alissandrakis, Chrystopher L. Nehaniv, Kersti...
APLAS
2008
ACM
14 years 11 months ago
Minimal Ownership for Active Objects
Active objects offer a structured approach to concurrency, encapsulating both unshared state and a thread of control. For efficient data transfer, data should be passed by referenc...
Dave Clarke, Tobias Wrigstad, Johan Östlund, ...