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ICANN
2001
Springer
15 years 11 months ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc
FPL
2006
Springer
158views Hardware» more  FPL 2006»
15 years 10 months ago
Placing Functionality in Fault-Tolerant Hardware/Software Reconfigurable Networks
A novel framework shows the potential of FPGA-based systems for increasing fault-tolerance and flexibility by placing functionality onto free hardware (HW) or software (SW) resour...
Thilo Streichert
AAAI
2008
15 years 9 months ago
Latent Tree Models and Approximate Inference in Bayesian Networks
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
Yi Wang, Nevin Lianwen Zhang, Tao Chen
USENIX
2003
15 years 8 months ago
Robust, Portable I/O Scheduling with the Disk Mimic
We propose a new approach for I/O scheduling that performs on-line simulation of the underlying disk. When simulation is integrated within a system, three key challenges must be a...
Florentina I. Popovici, Andrea C. Arpaci-Dusseau, ...
ECAI
2010
Springer
15 years 8 months ago
A Decentralised Symbolic Diagnosis Approach
This paper considers the diagnosis of large discrete-event systems consisting of many components. The problem is to determine, online, all failures and states that explain a given...
Anika Schumann, Yannick Pencolé, Sylvie Thi...