Sciweavers

1617 search results - page 25 / 324
» Using Gaussian Processes to Optimize Expensive Functions
Sort
View
TNN
2008
128views more  TNN 2008»
13 years 7 months ago
A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach
Blind inversion of a linear and instantaneous mixture of source signals is a problem often encountered in many signal processing applications. Efficient FastICA (EFICA) offers an ...
Petr Tichavský, Zbynek Koldovský, Ar...
NIPS
2007
13 years 9 months ago
Robust Regression with Twinned Gaussian Processes
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
Andrew Naish-Guzman, Sean B. Holden
EVOW
2008
Springer
13 years 9 months ago
Protein Interaction Inference Using Particle Swarm Optimization Algorithm
Many processes in the cell involve interaction among the proteins and determination of the networks of such interactions is of immense importance towards the complete understanding...
Mudassar Iqbal, Alex Alves Freitas, Colin G. Johns...
ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Automatically Tuning Background Subtraction Parameters using Particle Swarm Optimization
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
Brandyn White, Mubarak Shah
WIOPT
2010
IEEE
13 years 5 months ago
On the use of packet scheduling in self-optimization processes: Application to coverage-capacity optimization
—Self-organizing networks (SON) is commonly seen as a way to increase network performance while simplifying its management. This paper investigates Packet Scheduling (PS) in the ...
Richard Combes, Zwi Altman, Eitan Altman