Information content: assessing meso-scale structures in complex networks

For instance, the best overall accuracy of bagging in Breast with 20% noise is achieved using a 10% sampling ratio: The test error goes from 4.1% when no noise is injected to 3.5%

In particular, different versions of the training set for the base learners can be used, as in bagging (bootstrap sampling of training data), class-switching (noise injection in

We identify their key examples of extreme types, extending the description of extreme types of generalized complex structures: in type 0 we have regular foliations with

We give an expression, in terms of the so-called Her- mitian intrinsic volumes, for the measure of the set of complex r-planes intersecting a regular domain in any complex space

The simulation of the band structure of disordered material IIa is complex owing to the number of potential structures depending on the y angle of each phenyl ring in the

In this contribution, a novel learning architecture based on the interconnection of two different learning-based 12 neural networks has been used to both predict temperature and

Our objective in this paper is to propose a novel framework for map comparison that is based on the use of symbolic entropy to detect spatial patterns in thematic maps (Ruiz et al

We apply a new method to describe the evolution of the coronal emission measure distribution of  Eridani in terms of solar magnetic structures: active regions, cores of active