Multiple Instance Learning Foundations and Algorithms /
This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms. The authors discuss the most important algorithms for MIL such as classification, regression and clustering. With a focus on classification, a taxonomy is set and the...
| Other Authors: | Herrera, Francisco (Computer scientist), Ventura, S., Bello, Rafael., Cornelis, Chris., Zafra, Amelia., Sánchez-Tarragó, Dánel., Vluymans, Sarah., SpringerLink (Online service) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2016.
Cham : 2016. |
| Physical Description: |
1 online resource (241 pages) |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |