Sciweavers

111 search results - page 9 / 23
» Methods and Metrics for Selective Regression Testing
Sort
View
ICASSP
2011
IEEE
14 years 1 months ago
Robust nonparametric regression by controlling sparsity
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Gonzalo Mateos, Georgios B. Giannakis
INFOCOM
2010
IEEE
14 years 8 months ago
Metrics for Evaluating Video Streaming Quality in Lossy IEEE 802.11 Wireless Networks
—Peak Signal-to-Noise Ratio (PSNR) is the simplest and the most widely used video quality evaluation methodology. However, traditional PSNR calculations do not take the packet lo...
An Chan, Kai Zeng, Prasant Mohapatra, Sung-Ju Lee,...
BMCBI
2007
215views more  BMCBI 2007»
14 years 9 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
ICPR
2004
IEEE
15 years 10 months ago
Robust Modelling of Local Image Structures and Its Application to Medical Imagery
A robust modelling method for detecting and measuring isotropic, linear features and bifurcations is described and applied to analysing 2d eletrophoresis and retinal images. Featu...
Li Wang, Abhir Bhalerao, Roland Wilson
ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
15 years 3 months ago
Getting the Most Out of Ensemble Selection
We investigate four previously unexplored aspects of ensemble selection, a procedure for building ensembles of classifiers. First we test whether adjusting model predictions to p...
Rich Caruana, Art Munson, Alexandru Niculescu-Mizi...