In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
In this paper, we present a new incremental learning strategy for handwritten character recognition systems. This learning strategy enables the recognition system to learn “rapi...
To provide personalization and adaptivity in technology enhanced learning systems, the needs of learners have to be known by the system first. Detecting these needs is a challengin...
: The development of new Information Technologies have originated new possibilities to develop pedagogical methodologies that provide the necessary knowledge and skills in the High...
: In this paper, we propose an improved context-aware system for supporting to learning Japanese mimicry and onomatopoeia (MIO) using sensor data. In our two previous studies, we p...
Bin Hou, Hiroaki Ogata, Masayuki Miyata, Mengmeng ...