Name
Abstract | ||
|---|---|---|
We show that, using a Support Vector Machine classifier, it is possible to determine with a 75% success rate who dominated a particular meeting on the basis of a few basic features. We discuss the corpus we have used, the way we had people judge dominance and the features that were used. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11677482_7 | Notre Dame Journal of Formal Logic |
Keywords | Field | DocType |
particular meeting,basic feature,dominance detection,support vector machine classifier,obtainable feature,people judge dominance,success rate,support vector machine | Pattern recognition,Goal orientation,Support vector machine classifier,Computer science,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | ISBN |
3869 | 0302-9743 | 3-540-32549-2 |
Citations | PageRank | References |
45 | 3.38 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rutger Rienks | 1 | 168 | 13.14 |
| Dirk Heylen | 2 | 867 | 89.11 |