Abstract— A well-known concept to adapt the transmitted payload to the current channel capacity is to perform segmentation of the uncoded user payload. In [1], a new cross layera...
Performance models are of increasing interest to professionals who do not have a background in mathematical analysis, it is important to provide additional mechanisms by developer...
Nigel Thomas, Malcolm Munro, Peter J. B. King, Rob...
It has previously been shown that canonical correlation analysis (CCA) works well for detecting neural activity in fMRI data. This is due to the ability of CCA to perform simultan...
A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters...
Abstract. This paper presents a model for the probability of correct classification for the Cooperative Modular Neural Network (CMNN). The model enables the estimation of the perf...