45 search results - page 5 / 9 » Decision Trees Using the Minimum Entropy-of-Error Principle |
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Sequence data are abundant in application areas such as computational biology, environmental sciences, and telecommunications. Many real-life sequences have a strong segmental str...
SWAT
1992
Springer
13 years 11 months ago
1992
Springer
Abstract. In a decision tree model, (n log2 n m i=1 ni log2 ni + n) is known to be a lower bound for sorting a multiset of size n containing m distinct elements, where the ith dist...
IJCAI
1997
13 years 8 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...
FLAIRS
2008
13 years 9 months ago
2008
In machine learning, decision trees are employed extensively in solving classification problems. In order to design a decision tree classifier two main phases are employed. The fi...
ISSRE
2007
IEEE
13 years 9 months ago
2007
IEEE
Using a specific machine learning technique, this paper proposes a way to identify suspicious statements during debugging. The technique is based on principles similar to Tarantul...