Action recognition is an important and challenging topic in computer vision, with many important applications including video surveillance, automated cinematography and understand...
Information about a student's level or state of knowledge is a key aspect for efficient, personalized learning activities. E-learning systems gain such information in two ways...
Due to the exponential growth of documents on the Internet and the emergent need to organize them, the automated categorization of documents into predefined labels has received an...
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...