The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Recently, almost uncontrolled technological progress allows so called high-throughput data collection for sophisticated and complex experimental biological systems analysis. Espec...
In this paper, the authors propose and analyze a network-based control architecture for power-electronicsbuilding-block-based converters. The objective of the proposed approach is ...
Rong Liu, Antonello Monti, Ferdinanda Ponci, Anton...
Objective: To introduce the availability of grant-to-article linkage data associated with NIH grants and to perform a high-level analysis of the publication outputs and impacts as...
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...