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» Learning in Multi-Agent Systems
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ICALT
2006
IEEE
15 years 10 months ago
Tuning IMS LD for Implementing a Collaborative Lifelong Learning Scenario
This paper describes an approach for modeling and implementing a collaborative learning situation, which is part of a real lifelong learning scenario in astronomy. We adopt and sl...
Davinia Hernández Leo, Eloy D. Villasclaras...
IADIS
2008
15 years 5 months ago
Modelling Collaborative Competence Level Using Machine Learning Techniques
Using open e-learning platforms as a tool to support the learning process has become an international tendency. Specially, in order to motivate the achievement of desired competen...
Laura Mancera Valetts, Silvia Baldiris Navarro, Ra...
NIPS
1994
15 years 5 months ago
Phase-Space Learning
In this paper, we present an improved version of the online phase-space learning algorithm of Tsung and Cottrell (1995), called ARTISTE (Autonomous Real-TIme Selection of Training...
Fu-Sheng Tsung, Garrison W. Cottrell
185
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SIGIR
2012
ACM
13 years 6 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
124
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ECTEL
2007
Springer
15 years 10 months ago
Resolving Variations in Learning Spaces for Experiential Learning
Today, systems should react based on explicit demands from the learner or even proactively react based on changes in the working environment. The success of this type of systems de...
Eric Ras