Name
Abstract | ||
|---|---|---|
In this work we introduce an improved version of a learning algorithm for the automatic adaption of a situation ontology (TAA) [1] which extends the basic principle of the learning algorithm. The approach 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 system for sharing context data. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-03986-7_42 | Communications in Computer and Information Science |
Keywords | DocType | Volume |
machine learning,bayesian network | Conference | 44 |
ISSN | Citations | PageRank |
1865-0929 | 2 | 0.39 |
References | Authors | |
9 | 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 |