Resonator-based detection in nanorods Articles uri icon

publication date

  • September 2017

start page

  • 645

end page

  • 660

volume

  • 93

international standard serial number (ISSN)

  • 0888-3270

electronic international standard serial number (EISSN)

  • 1096-1216

abstract

  • We introduce from first principles an analysis of the information content of multivariate distributions as information sources. Specifically, we generalize a balance equation and a visualization device, the Entropy Triangle, for multivariate distributions and find notable differences with similar analyses done on joint distributions as models of information channels. As an example application, we extend a framework for the analysis of classifiers to also encompass the analysis of data sets. With such tools we analyze a handful of UCI machine learning task to start addressing the question of how well do datasets convey the information they are supposed to capture about the phenomena they stand for. (C) 2017 Elsevier Ltd. All rights reserved.

keywords

  • strain gradient theory; nanorods; nanosensors; mass identification; inverse problems; strain gradient elasticity; longitudinal vibration analysis; point mass identification; nonlocal elasticity; acoustic vibrations; beam theory; frequency; rods; nanomechanics; nanoscale