412 search results - page 33 / 83 » Mobile Learning: A New Paradigm in Electronic Learning |
AAAI
2007
13 years 11 months ago
2007
The importance of the efforts towards integrating the symbolic and connectionist paradigms of artificial intelligence has been widely recognised. Integration may lead to more e...
ECAI
2008
Springer
13 years 10 months ago
2008
Springer
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...
LREC
2010
13 years 10 months ago
2010
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation (SMT) being the most actively progressing area. Succe...
CIKM
2011
Springer
12 years 8 months ago
2011
Springer
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
IWANN
2005
Springer
14 years 2 months ago
2005
Springer
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...