1548 search results - page 166 / 310 » Statistical Modelling of CSP Solving Algorithms Performance |
KDD
2010
ACM
15 years 48 sec ago
2010
ACM
This paper introduces mass estimation—a base modelling mechanism in data mining. It provides the theoretical basis of mass and an efficient method to estimate mass. We show that...
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JMLR
2012
13 years 13 days ago
2012
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
BMCBI
2010
14 years 10 months ago
2010
Background: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractab...
ICDM
2002
IEEE
15 years 3 months ago
2002
IEEE
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...