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TFS
2011
239views Education» more  TFS 2011»
15 years 2 months ago
Systems Control With Generalized Probabilistic Fuzzy-Reinforcement Learning
—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...
William M. Hinojosa, Samia Nefti, Uzay Kaymak
HICSS
2005
IEEE
160views Biometrics» more  HICSS 2005»
16 years 27 days ago
Using Content and Process Scaffolds to Support Collaborative Discourse in Asynchronous Learning Networks
Discourse, a form of collaborative learning [44], is one of the most widely used methods of teaching and learning in the online environment. Particularly in large courses, discour...
I. Wong-Bushby, Starr Roxanne Hiltz, Michael Biebe...
HIS
2004
15 years 8 months ago
Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
Karla Figueiredo, Marley B. R. Vellasco, Marco Aur...
IJKSR
2011
106views more  IJKSR 2011»
14 years 10 months ago
Integrating the LMS in Service Oriented eLearning Systems
Learning management systems are routinely used for presenting, solving and grading exercises with large classes. However, teachers are constrained to use questions with pre-defined...
José Paulo Leal, Ricardo Queirós
ICALT
2008
IEEE
16 years 1 months ago
VEMUS: An Integrated Platform to Support Music Tuition Tasks
In this paper, the VEMUS platform is presented, as a novel approach for music tuition that focuses on beginner and intermediate students, typically aged from 9 to 15 years. This p...
George Tambouratzis, Kostas Perifanos, Iro Voulgar...