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KSEM
2009
Springer
14 years 4 months ago
A Competitive Learning Approach to Instance Selection for Support Vector Machines
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
Mario Zechner, Michael Granitzer
SC
2005
ACM
14 years 3 months ago
VSched: Mixing Batch And Interactive Virtual Machines Using Periodic Real-time Scheduling
We are developing Virtuoso, a system for distributed computing using virtual machines (VMs). Virtuoso must be able to mix batch and interactive VMs on the same physical hardware, ...
Bin Lin, Peter A. Dinda
MOBISYS
2008
ACM
14 years 10 days ago
MobiVMM: a virtual machine monitor for mobile phones
Mobile phones have evolved into complex systems as they have more and more new applications built-in. As a result, they are less reliable and less secure than before. Virtual Mach...
See-hwan Yoo, Yunxin Liu, Cheol-Ho Hong, Chuck Yoo...
SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
13 years 11 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
IJCNN
2007
IEEE
14 years 4 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot