412 search results - page 52 / 83 » Mobile Learning: A New Paradigm in Electronic Learning |
CHI
2004
ACM
14 years 9 months ago
2004
ACM
This paper sums up lessons learned from a sequence of cooperative design workshops where end users were enabled to design mobile systems through scenario building, role playing, a...
ROBOCUP
2000
Springer
14 years 6 days ago
2000
Springer
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
UAI
2003
13 years 10 months ago
2003
We present an application of hierarchical Bayesian estimation to robot map building. The revisiting problem occurs when a robot has to decide whether it is seeing a previously-bui...
ICDE
2007
IEEE
14 years 3 months ago
2007
IEEE
Emotional context is becoming a promising paradigm to develop more intuitive and sensitive recommender systems. Ambient Recommender Systems, arise from the analysis of new trends ...
MANSCI
2006
13 years 8 months ago
2006
The problem of group ranking, a.k.a. rank aggregation, has been studied in contexts varying from sports, to multi-criteria decision making, to machine learning, to ranking web pag...