493 search results - page 11 / 99 » A Multi-relational Decision Tree Learning Algorithm - Implem... |
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
ROC analysis is increasingly being recognised as an important tool for evaluation and comparison of classifiers when the operating characteristics (i.e. class distribution and cos...
ACL
2001
13 years 10 months ago
2001
Named entity (NE) recognition is a task in which proper nouns and numerical information in a document are detected and classified into categories such as person, organization, loc...
PKDD
2005
Springer
14 years 2 months ago
2005
Springer
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
FLAIRS
2006
13 years 10 months ago
2006
Decision Trees are well known for their training efficiency and their interpretable knowledge representation. They apply a greedy search and a divide-and-conquer approach to learn...