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...
Mingyu Zhong, Michael Georgiopoulos, Georgios C. A...
This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the ava...
This paper describes an implementation for syntax-directed transformation of XML documents from one structure to another. The system is based on the method which we have introduce...
Abstract. We consider documents as words and trees on some alphabet and study how to compare them with some regular schemas on an alphabet . Given an input document I, we decide ...
Abstract. The network measurement community has proposed multiple machine learning (ML) methods for traffic classification during the last years. Although several research works ha...