Bridging the gap between graph edit distance and kernel machines
I tiakina i:
| Kaituhi matua: | |
|---|---|
| Kaituhi rangatōpū: | |
| Ētahi atu kaituhi: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Singapore ; Hackensack, NJ :
World Scientific,
c2007.
|
| Rangatū: | Series in machine perception and artificial intelligence ;
v. 68. |
| Ngā marau: | |
| Urunga tuihono: | An electronic book accessible through the World Wide Web; click to view |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Ngā tūemi rite: Bridging the gap between graph edit distance and kernel machines
- Machine interpretation of patterns image analysis and data mining /
- Pattern classification using ensemble methods
- Kernels for structured data
- Kernel methods for pattern analysis
- Learning with kernels support vector machines, regularization, optimization, and beyond /
- The dissimilarity representation for pattern recognition foundations and applications /