Linear and kernel discriminant analyses are popular approaches for supervised dimensionality reduction. Uncorrelated and regularized discriminant analyses have been proposed to ove...
A discrete (binary-input 2q -ary output) communication channel with memory is introduced with the objective to judiciously capture both the statistical memory and the soft-decision...
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
1 Soft errors induced by radiation are an increasing problem in the microelectronic field. Although traditional models estimate the reliability of memories suffering Single Event U...