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ESSMAC
2003
Springer
15 years 12 months ago
Filtered Gaussian Processes for Learning with Large Data-Sets
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
ICAPR
2001
Springer
15 years 11 months ago
Pattern Matching and Neural Networks Based Hybrid Forecasting System
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
Sameer Singh, Jonathan E. Fieldsend
ASPDAC
2007
ACM
156views Hardware» more  ASPDAC 2007»
15 years 10 months ago
PLLSim - An Ultra Fast Bang-Bang Phase Locked Loop Simulation Tool
- This paper presents a simulation tool targeted specifically at bang-bang type phase locked loop systems. The aim of this simulator is to quickly and accurately predict important ...
Michael Chan, Adam Postula, Yong Ding
CHINZ
2006
ACM
15 years 10 months ago
Accounting for user familiarity in user interfaces
Previous work discussed a model of cognitive distance with the novel concepts of "tech bias", "velocity" and "inertia". This paper examines the human...
Christiaan A. D'H Gough, Richard Green, Mark Billi...
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
15 years 10 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor