| Grant number: | 11/21723-5 |
| Support type: | Scholarships abroad - Research Internship - Doctorate (Direct) |
| Effective date (Start): | June 01, 2012 |
| Effective date (End): | October 31, 2012 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques |
| Principal researcher: | Maria Carolina Monard |
| Grantee: | Everton Alvares Cherman |
| Supervisor abroad: | Grigorios D. Tsoumakas |
| Home Institution: | Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil |
| Research place: | Aristotle University of Thessaloniki (AUTh), Greece |
| Associated to the scholarship: | 10/15992-0 - Exploring label dependency in multilabel learning, BP.DD |
Abstract Due to the increasing number of new applications where examples are annotated with more than one label, multi-label classification has attracted the attention of the academic community. Multi-label classification is being used in an increasing number of applications such as semantic annotation of video and image, functional genomic and music categorization into emotions, to name just a few. In multi-label application, as well as in single-label, unlabeled data vastly outnumber labeled data because of the expensive labeling cost in classification applications. However, it is possible to minimize labeling costs by allowing the learner to query for the most informative data points. This is the goal of active learning, which has been often used in single-label data, and only recently its use has been extended to multi-label data. The overall goal of this research project is to explore active learning on multi-label data. (AU) | |
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