Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
NEMO Basic Support (NEMO BS) adds a mobility function to IPv6 routers, such a router is called as a mobile router. The network behind the mobile router (mobile network) becomes log...
This paper presents the middleware needed to deploy jobs to non-geographically colocated clusters with decentralized look-up severs. We have named our framework the Initium Remote...