229 search results - page 21 / 46 » Sample Selection for Statistical Parsing |
CORR
2011
Springer
13 years 2 months ago
2011
Springer
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
JCB
2008
13 years 7 months ago
2008
Large-scale whole genome association studies are increasingly common, due in large part to recent advances in genotyping technology. With this change in paradigm for genetic studi...
JMLR
2006
13 years 7 months ago
2006
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
EUROCAST
2003
Springer
14 years 28 days ago
2003
Springer
This paper considers the problem of texture description and feature selection for the classification of tissues in 3D Magnetic Resonance data. Joint statistical measures like grey...
PR
2008
13 years 7 months ago
2008
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...