74 search results - page 2 / 15 » Recommendations on the use of Bayesian optimal designs for c... |
CSDA
2010
13 years 5 months ago
2010
Various design and model selection methods are available for supersaturated designs having more factors than runs but little research is available on their comparison and evaluati...
GECCO
2007
Springer
13 years 12 months ago
2007
Springer
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
HIS
2008
13 years 7 months ago
2008
Online recommenders are usually referred to those used in e-Commerce websites for suggesting a product or service out of many choices. The core technology implemented behind this ...
KDD
2009
ACM
14 years 6 months ago
2009
ACM
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
JMLR
2008
13 years 5 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...