3051 search results - page 142 / 611 » Learning Internal Representations |
109
Voted
ECTEL
2007
Springer
15 years 9 months ago
2007
Springer
IMS Learning Design (LD) is a specification that aims at computationally representing any learning process. However, the possibilities of LD to represent collaborative learning sce...
109
Voted
ECTEL
2007
Springer
15 years 9 months ago
2007
Springer
TELOS is a new eLearning system being built within the Canadian LORNET project. TELOS aims to provide an open operating system in which users can develop and use eLearning and know...
129
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
129
Voted
ICML
1998
IEEE
16 years 4 months ago
1998
IEEE
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
135
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NIPS
2000
15 years 4 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...