CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishSupport Vector Machines are gaining more and more acceptance thanks to their success in many real-world problems. We propose in this work a solution for implementing SVM in hardware. The main idea is to use a recurrent network for SVM learning that guarantees the globally convergence to the optimal solution without the use of penalty terms. This network improves our and other authors' previous solutions. The recurrent network is suitable for a straightforward analog VLSI realization; the digital solution can be derived through a discretization (in time) of the circuit.
Scheda prodotto non validato
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
| Titolo: | Towards analog and digital hardware for support vector machines | |
| Autori: | ||
| Data di pubblicazione: | 2001 | |
| Abstract: | Support Vector Machines are gaining more and more acceptance thanks to their success in many real-world problems. We propose in this work a solution for implementing SVM in hardware. The main idea is to use a recurrent network for SVM learning that guarantees the globally convergence to the optimal solution without the use of penalty terms. This network improves our and other authors' previous solutions. The recurrent network is suitable for a straightforward analog VLSI realization; the digital solution can be derived through a discretization (in time) of the circuit. | |
| Handle: | http://hdl.handle.net/11567/539215 | |
| ISBN: | 0780370449 | |
| Appare nelle tipologie: | 04.01 - Contributo in atti di convegno |
File in questo prodotto:
http://hdl.handle.net/11567/539215
Copyright © 2021