288 search results - page 11 / 58 » An Enhanced Theory of Learning Including Learning from the F... |
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
ITS
2010
Springer
14 years 7 days ago
2010
Springer
We investigate whether four metacognitive metrics derived from student correctness and uncertainty values are predictive of student learning in a fully automated spoken dialogue co...
ISF
2008
13 years 7 months ago
2008
This article examines how emerging pervasive computing and affective computing technologies might enhance the adoption of ICT in e-Learning which takes place in the home and wider ...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...