We present the state of the art of a computational platform for the analysis of classical Sanskrit. The platform comprises modules for phonology, morphology, segmentation and shal...
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
We perform a detailed study of various crosstalk scenarios in VDSM technologies by using a distributed model of the crosstalk site and make a number of key observations about the ...
Nanoelectronic devices are expected to have extremely high and variable fault rates; thus future processor architectures based on these unreliable devices need to be built with fa...