159 search results - page 4 / 32 » A comparison of design and model selection methods for super... |
BMCBI
2008
13 years 6 months ago
2008
Background: Choosing the appropriate sample size is an important step in the design of a microarray experiment, and recently methods have been proposed that estimate sample sizes ...
ICMLA
2009
13 years 4 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
ICPR
2006
IEEE
14 years 19 days ago
2006
IEEE
We describe an efficient and robust method of tracking human forearms as skin colored regions. Of special consideration in the design of this system are real-time and robustness ...
BMCBI
2008
13 years 6 months ago
2008
Background: Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patt...