A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Generic ensemble methods can achieve excellent learning performance, but are not good candidates for active learning because of their different design purposes. We investigate how...
Motivated by the hypothesis that the retrieval performance of a weighting model is independent of the language in which queries and collection are expressed, we compared the retrie...
This paper presents an integrated method to achieve authorized access on LAN sockets in a campus network. The key issues of our method are user authentication and user tracking. W...
With the recent advent of deep sub-micron technology and new packaging schemes such as Multi-Chip Modules(MCMs), integrated circuit components are often not rectangular. Most exis...