1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Sensor networks present a number of novel programming challenges for application developers. Their inherent limitations of computational power, communication bandwidth, and energy...
This paper describes how genetic programming was used as an invention machine to automatically synthesize complete designs for six optical lens systems that duplicated the functio...
Feature sets are broadly discussed within speech emotion recognition by acoustic analysis. While popular filter and wrapper based search help to retrieve relevant ones, we feel th...
In this paper, an efficient design flow integrating Mentor Graphics Precesion C and HDL designer is derived. In this hybrid prototyping environment, efficient FPGA architectures a...
Yuanbin Guo, Gang Xu, Dennis McCain, Joseph R. Cav...