281 search results - page 10 / 57 » Using Bayesian Networks to Implement Adaptivity in Mobile Le... |
CEE
2005
13 years 7 months ago
2005
In this paper, we first propose a new continuous action-set learning automaton and theoretically study its convergence properties and show that it converges to the optimal action....
APIN
1999
13 years 7 months ago
1999
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
WMTE
2006
IEEE
14 years 1 months ago
2006
IEEE
The diversity of mobile devices and their limitations have raised many challenges for the actual deployment of mobile learning across institutions. The main objective of this work...
RTCSA
1999
IEEE
13 years 12 months ago
1999
IEEE
This paper describes an architecture and runtime system to implement distributed control and data processing applications in a thin-client manner, suitable for implementing a thin...
CE
2008
13 years 7 months ago
2008
The portability and immediate communication properties of mobile devices influence the learning processes in interacting with peers, accessing resources and transferring data. For...