Predicting knowledge in an ontology stream
Freddy Lécué, Jeff Z. Pan
IJCAI 2013
In this paper, we describe application-specific extensions for fuzzy processing to a general purpose processor. The application-specific instruction set extensions were defined and evaluated using hardware/software codesign techniques. Based on this approach, we have extended the MIPS instruction set architecture with only a few new instructions to significantly speed up fuzzy computation with no increase of the processor cycle time and with only minor increase in chip area. The processor is implemented using a reconfigurable processor core which was designed as a starting point for application-specific processor designs to be used in embedded applications. Performance is presented for three representative applications of varying complexity. © 2000 IEEE.
Freddy Lécué, Jeff Z. Pan
IJCAI 2013
Ge Gao, Qitong Gao, et al.
ICLR 2024
Shuang Chen, Herbert Freeman
International Journal of Pattern Recognition and Artificial Intelligence
Weiming Hu, Nianhua Xie, et al.
IEEE TPAMI