Sciweavers

3020 search results - page 96 / 604
» Human dialogue modelling using machine learning
Sort
View
ICML
2008
IEEE
16 years 5 months ago
The asymptotics of semi-supervised learning in discriminative probabilistic models
Semi-supervised learning aims at taking advantage of unlabeled data to improve the efficiency of supervised learning procedures. For discriminative models however, this is a chall...
François Yvon, Nataliya Sokolovska, Olivier...
ICALT
2009
IEEE
15 years 11 months ago
ICOPER Big Picture Modelling the Central Concepts of Competency-Driven Learning
Competency based learning is seen as a means to make the educational system more adapt to cater for , the learners’ professional development and the need to increase their futur...
Tore Hoel, Vana Kamtsiou
ICML
2003
IEEE
16 years 5 months ago
Using Linear-threshold Algorithms to Combine Multi-class Sub-experts
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
Chris Mesterharm
CCECE
2006
IEEE
15 years 10 months ago
A Dynamic Associative E-Learning Model based on a Spreading Activation Network
Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...
Phongchai Nilas, Nilamit Nilas, Somsak Mitatha
COLT
2006
Springer
15 years 8 months ago
Memory-Limited U-Shaped Learning
U-shaped learning is a learning behaviour in which the learner first learns a given target behaviour, then unlearns it and finally relearns it. Such a behaviour, observed by psych...
Lorenzo Carlucci, John Case, Sanjay Jain, Frank St...