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ICSNC
2007
IEEE
16 years 1 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
IV
2006
IEEE
104views Visualization» more  IV 2006»
16 years 24 days ago
Easy Grocery: 3D Visualization in e-Grocery
There are many deficiencies in the traditional electronic commerce schema. The main problem for consideration is the text and picture based design that underpins current HTML syst...
J. Somerville, Liz J. Stuart, N. Barlow
STOC
2010
ACM
228views Algorithms» more  STOC 2010»
15 years 11 months ago
On the searchability of small-world networks with arbitrary underlying structure
Revisiting the “small-world” experiments of the ’60s, Kleinberg observed that individuals are very effective at constructing short chains of acquaintances between any two p...
Pierre Fraigniaud and George Giakkoupis
ASMTA
2008
Springer
167views Mathematics» more  ASMTA 2008»
15 years 8 months ago
Perfect Simulation of Stochastic Automata Networks
The solution of continuous and discrete-time Markovian models is still challenging mainly when we model large complex systems, for example, to obtain performance indexes of paralle...
Paulo Fernandes, Jean-Marc Vincent, Thais Webber
CSDA
2006
169views more  CSDA 2006»
15 years 6 months ago
Generalized structured additive regression based on Bayesian P-splines
Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Ba...
Andreas Brezger, Stefan Lang