We present a novel approach for the automatic generation of model-to-model transformations given a description of the operational semantics of the source language by means of graph...
It has been widely recognized that online opinions constitute important informational sources for consumers and producers. The open nature of communication supported by social med...
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Efficiency measurement is an important issue for any firm or organization. Efficiency measurement allows organizations to compare their performance with their competitors’ and t...