Some examples and use cases from the internet:

Some examples and use cases from the internet:

• studies of Provost and Domingos [8] suggested that probabil
• and yield not only a better probability estimation but also superior ranking results. We next describe these steps in more detail. 3.1 Measure Phrase Document ...
• ity estimation trees give a better probability estimation than normal decision trees (e.g., C4.5).
• A better probability estimation method such as [14] may be able to solve this. A better search scheme may also be desired as well to accelerate the detec
• tion.
• its context results in a better probability estimation or, in the worst case, even leads to a deterioration. In chapter 5, we will define criteria to rate the usefulness of ...

• augumented naive Bayes, CLLTree, C4.4 (the improved version of C4.5 for better probability estimation) and Support Vector Machines.
• methods to achieve better probability estimation. Our proposed refit method is shown to give consistent probability estimation, and works remarkably well in the  ...
• In particular, as a case study, we compare C4.4 (the improvement version of C4.5 for better probability estimation) and its variants, with C4.5 ( traditional decision ...
• results show that the method produces better probability estimation than the morpheme
• ... it to naive Bayes, tree
• gram estimation, Language ...
• based measurement. Keywords: hybrid N