دورية أكاديمية
T.: Multiple instance learning via disjunctive programming boosting
| العنوان: | T.: Multiple instance learning via disjunctive programming boosting |
|---|---|
| المؤلفون: | Stuart Andrews, Thomas Hofmann |
| المساهمون: | The Pennsylvania State University CiteSeerX Archives |
| المصدر: | http://www.cs.brown.edu/people/th/papers/AndHof-NIPS2003.pdfTest. |
| بيانات النشر: | Bradford Book |
| سنة النشر: | 2004 |
| المجموعة: | CiteSeerX |
| الوصف: | Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with sets of pattern instead of individual patterns. This encompasses multiple instance learning as a special case. Our approach is based on a generalization of linear programming boosting and uses results from disjunctive programming to generate successively stronger linear relaxations of a discrete non-convex problem. 1 |
| نوع الوثيقة: | text |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.180.4417Test; http://www.cs.brown.edu/people/th/papers/AndHof-NIPS2003.pdfTest |
| الإتاحة: | http://www.cs.brown.edu/people/th/papers/AndHof-NIPS2003.pdfTest |
| حقوق: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| رقم الانضمام: | edsbas.5F153D76 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |