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ICSNC
2007
IEEE
15 years 10 months ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh
IJCNN
2007
IEEE
15 years 10 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
INFOCOM
2007
IEEE
15 years 10 months ago
Load Balancing in Large-Scale RFID Systems
A radio frequency identifier (RFID) system consists of inexpensive, uniquely identifiable tags that are mounted on physical objects, and readers that track these tags (and hence...
Qunfeng Dong, Ashutosh Shukla, Vivek Shrivastava, ...
IPPS
2007
IEEE
15 years 10 months ago
A Semi-Distributed Axiomatic Game Theoretical Mechanism for Replicating Data Objects in Large Distributed Computing Systems
Replicating data objects onto servers across a system can alleviate access delays. The selection of data objects and servers requires solving a constraint optimization problem, wh...
Samee Ullah Khan, Ishfaq Ahmad
IPPS
2007
IEEE
15 years 10 months ago
A Performance Prediction Framework for Grid-Based Data Mining Applications
For a grid middleware to perform resource allocation, prediction models are needed, which can determine how long an application will take for completion on a particular platform o...
Leonid Glimcher, Gagan Agrawal
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