Name
Title | ||
|---|---|---|
Supervised learning algorithm for automatic adaption of situation templates using uncertain data |
Abstract | ||
|---|---|---|
In this paper a learning algorithm for the automatic adaption of a situation template is presented. The approach strongly relies on human-machine interaction as user feedback is a substantial part to automatically adapt a global knowledgebase in this case. The work bases on the assumption of uncertain data and includes elements from the domain of Bayesian Networks and Machine Learning. It is embedded into the cluster of excellence Nexus at the University of Stuttgart which has the aim to build a distributed context aware user-friendly system for sharing context data. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1655925.1655960 | Int. Conf. Interaction Sciences |
Keywords | Field | DocType |
global knowledgebase,human-machine interaction,uncertain data,supervised learning algorithm,bayesian networks,machine learning,context data,context aware user-friendly system,situation template,automatic adaption,excellence nexus,adaptive learning,supervised learning,bayesian network | Online machine learning,Semi-supervised learning,Instance-based learning,Active learning (machine learning),Computer science,Wake-sleep algorithm,Uncertain data,Supervised learning,Unsupervised learning,Artificial intelligence,Machine learning | Conference |
Citations | PageRank | References |
3 | 0.38 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oliver Zweigle | 1 | 38 | 7.18 |
| Kai Häussermann | 2 | 27 | 4.95 |
| Uwe-philipp Käppeler | 3 | 28 | 4.73 |
| Paul Levi | 4 | 250 | 41.99 |