45 search results - page 2 / 9 » Decision Trees Using the Minimum Entropy-of-Error Principle |
TIT
1998
13 years 7 months ago
1998
—We review the principles of Minimum Description Length and Stochastic Complexity as used in data compression and statistical modeling. Stochastic complexity is formulated as the...
CCE
2008
13 years 7 months ago
2008
The minimum singular value (MSV) rule is a useful tool for selecting controlled variables (CVs) from the available measurements. However, the application of the MSV rule to large-...
KDD
1995
ACM
13 years 11 months ago
1995
ACM
This paper explores the application of the Minimum Description Length principle for pruning decision trees. We present a new algorithm that intuitively captures the primary goal o...
CP
2009
Springer
14 years 8 months ago
2009
Springer
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
COMSIS
2006
13 years 7 months ago
2006
In this paper we present an improvement of the precision of classification algorithm results. Two various approaches are known: bagging and boosting. This paper describes a set of ...