1292 search results - page 230 / 259 » Learning from Project Experiences Using a Legacy-Based Appro... |
CIDR
2009
13 years 8 months ago
2009
R is a numerical computing environment that is widely popular for statistical data analysis. Like many such environments, R performs poorly for large datasets whose sizes exceed t...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is becoming much more complex. S...
ALGORITHMICA
2006
13 years 7 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
JMLR
2008
13 years 7 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...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...