30 search results - page 1 / 6 » Speeding Up Logistic Model Tree Induction |
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
Logistic Model Trees have been shown to be very accurate and compact classifiers [8]. Their greatest disadvantage is the computational complexity of inducing the logistic regressi...
ECML
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
Most existing work on Privacy-Preserving Data Mining (PPDM) focus on enabling conventional data mining algorithms with the ability to run in a secure manner in a multi-party setti...
FMCAD
2007
Springer
13 years 10 months ago
2007
Springer
—When model-checking reports that a property holds on a model, vacuity detection increases user confidence in this result by checking that the property is satisfied in the inte...
IFIP12
2008
13 years 6 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...