Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Interoperability is one of the main issues in creating a networked system of repositories. The eduSource project in its holistic approach to building a network of learning object ...
Marek Hatala, Griff Richards, Timmy Eap, Jordan Wi...
In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM...
The purpose of this paper is to build a digital archive database for Taiwanese people to learn Taiwanese culture through the internet and elearning environment. This study will be ...
A fuzzy classifier using multiple ellipsoids approximating decision regions for classification is to be designed in this paper. An algorithm called Gustafson-Kessel algorithm (GKA)...