86 search results - page 1 / 18 » Minimum Splits Based Discretization for Continuous Features |
IJCAI
1997
13 years 6 months ago
1997
Discretization refers to splitting the range of continuous values into intervals so as to provide useful information about classes. This is usually done by minimizing a goodness m...
PKDD
2007
Springer
13 years 11 months ago
2007
Springer
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
IJCAI
1993
13 years 6 months ago
1993
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
ECAI
2010
Springer
13 years 2 months ago
2010
Springer
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...