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» Tackling Large State Spaces in Performance Modelling
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IJCNN
2007
IEEE
15 years 7 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
JSW
2007
118views more  JSW 2007»
15 years 1 months ago
A New Formalism for Failure Diagnosis: Ant Colony Decision Petri Nets
— Failure diagnosis in large and complex systems is a critical task. A discrete event system (DES) approach to the problem of failure diagnosis is presented in this paper. A clas...
Calin Ciufudean, Adrian Graur, Constantin Filote, ...
CVPR
2009
IEEE
16 years 8 months ago
Nonrigid Shape Recovery by Gaussian Process Regression
Most state-of-the-art nonrigid shape recovery methods usually use explicit deformable mesh models to regularize surface deformation and constrain the search space. These triangu...
Jianke Zhu, Michael R. Lyu, Steven C. H. Hoi
WSC
2008
15 years 3 months ago
Optimizing portfolio tail measures: Asymptotics and efficient simulation optimization
We consider a portfolio allocation problem where the objective function is a tail event such as probability of large portfolio losses. The dependence between assets is captured th...
Sandeep Juneja
VLSID
2008
IEEE
133views VLSI» more  VLSID 2008»
16 years 1 months ago
Exhaustive Enumeration of Legal Custom Instructions for Extensible Processors
Today's customizable processors allow the designer to augment the base processor with custom accelerators. By choosing appropriate set of accelerators, designer can significa...
Nagaraju Pothineni, Anshul Kumar, Kolin Paul