1900 search results - page 184 / 380 » Gaussian Processes for Machine Learning |
AIIDE
2006
14 years 6 days ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
JMLR
2010
13 years 5 months ago
2010
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
ECTEL
2007
Springer
14 years 5 months ago
2007
Springer
The paper presents LOCO-Analyst, an educational tool for providing teachers with feedback on the relevant aspects of the learning process taking place in a web-based learning envir...
IAT
2008
IEEE
14 years 5 months ago
2008
IEEE
Our work is focused on alleviating the workload for designers of adaptive courses on the complexity task of authoring adaptive learning designs adjusted to specific user character...
ICMLA
2010
13 years 8 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...