Improving network generalization through selection of examples

In this work, we study how the selection of examples affects the learning procedure in a neural network and its relationship with the complexity of the function under study and its architecture. We focus on three different problems: parity, addition of two number and bitshifting implemented on feed-forward Neural Networks. For the parity problem, one of the most used problems for testing learning algorithms, we obtain the result that only the use of the whole set of examples assures global learnings. For the other two functions we show that generalization can be considerably improved with a particular selection of examples instead of a random one.Sistemas InteligentesRed de Universidades con Carreras en Informática (RedUNCI

Improving network generalization through selection of examples

In this work, we study how the selection of examples affects the learning procedure in a neural network and its relationship with the complexity of the function under study and its architecture. We focus on three different problems: parity, addition of two number and bitshifting implemented on feed-forward Neural Networks. For the parity problem, one of the most used problems for testing learning algorithms, we obtain the result that only the use of the whole set of examples assures global learnings. For the other two functions we show that generalization can be considerably improved with a particular selection of examples instead of a random one.Sistemas InteligentesRed de Universidades con Carreras en Informática (RedUNCI

Non glassy ground-state in a long-range antiferromagnetic frustrated model in the hypercubic cell

We analize the statistical mechanics of a long-range antiferromagnetic model defined on a D-dimensional hypercube, both at zero and finite temperatures. The associated Hamiltonian is derived from a recently proposed complexity measure of Boolean functions, in the context of neural networks learning processes. We show that, depending of the value of D, the system either presents a low temperature antiferromagnetic stable phase or the global antiferromagnetic order disappears at any temperature. In the last case the ground state is an infinitely degenerated non-glassy one, composed by two equal size anti-aligned antiferromagnetic domains. We also present some results for the ferromagnetic version of the model.Comment: 8 pages, 5 figure

Tecnologia del recupero dell’architettura tradizionale: gestire la coesistenza tra conservazione e innovazione

The main aim of this PhD Thesis was to develop meaningful data and information on how to address the fundamental question related to rehabilitation technologies of traditional architecture: managing the coexistence between innovation and conservation, in order to restore the functionality of the building according to the contemporary standards of quality and, at the same time, not to alter the historical - cultural identity of the building technology. The present study is an analysis of good practices. The criteria applied to managing the coexistence between conservation and innovation of the building technology in some successful rehabilitation processes of historical city nuclei have been systematized. The main expected outcome is to fill a gap in literature concerning the evaluation of rehabilitation results by the technological point of view, in order to adjust the criteria of intervention on the basis of the results of earlier experiences. A qualitative and inductive research methodology has been applied, based on an evaluative-comparative strategy focused on case studies. Three rehabilitation processes of historical nuclei have been analyzed: Genova in Italy, Guimarães in Portugal and Santiago de Compostela in Spain. It has been systematically analyzed how windows, floors and roofs were processed, and it has been highlighted which traditional building technology characteristics were usually maintained and which were altered. The applied methodology has proved to be incisive in revealing the rehabilitation dynamics of the case studies. The findings show that in all cases the applied criteria were conceived in line with the Nara Document on Authenticity. The problematic coexistence of technological conservation and innovation was addressed by upgrading the traditional building technology thanks to the preservation of some building characteristics, that represent traditional building technology logic, and the implementation of all required innovations that do not contrast with the abovementioned traditional characteristics. The homogeneity of criteria among the three case studies represents a relevant fact in rehabilitation, as it demonstrates the existence of a common, well developed, rehabilitation methodology that is internationally shared among rehabilitation experts

Improving network generalization through selection of examples

In this work, we study how the selection of examples affects the learning procedure in a neural network and its relationship with the complexity of the function under study and its architecture. We focus on three different problems: parity, addition of two number and bitshifting implemented on feed-forward Neural Networks. For the parity problem, one of the most used problems for testing learning algorithms, we obtain the result that only the use of the whole set of examples assures global learnings. For the other two functions we show that generalization can be considerably improved with a particular selection of examples instead of a random one.Sistemas InteligentesRed de Universidades con Carreras en Informática (RedUNCI

Interaction between <i>Mycobacterium tuberculosis</i>, <i>Mycobacterium bovis</i>, <i>Mycobacterium avium</i> subspecies <i>paratuberculosis</i> with the enteric glia and microglial cells

Background We investigated the interaction of Mycobacterium avium subspecies paratuberculosis, M. bovis and M. tuberculosis and different glial cells (enteric glial and microglial cells) in order to evaluate the infecting ability of these microorganisms and the effects produced on these cells, such as the evaluation of cytokines expression. Results Our experiments demonstrated the adhesion of M. paratuberculosis to the enteroglial cells and the induction of IL-1A and IL-6 expression; M. tuberculosis and M. bovis showed a good adhesive capability to the enteric cell line with the expression of the following cytokines: IL-1A and IL-1B, TNF-α, G-CSF and GM-CSF; M. bovis induced the expression of IL-6 too. The experiment performed with the microglial cells confirmed the results obtained with the enteroglial cells after the infection with M. tuberculosis and M. bovis, whereas M. paratuberculosis stimulated the production of IL-1A and IL-1B. Conclusion Enteroglial and microglial cells, could be the target of pathogenic mycobacteria and, even if present in different locations (Enteric Nervous System and Central Nervous System), show to have similar mechanism of immunomodulation

The generalization complexity measure for continuous input data

We introduce in this work an extension for the generalization complexity measure to continuous input data. The measure, originally defined in Boolean space, quantifies the complexity of data in relationship to the prediction accuracy that can be expected when using a supervised classifier like a neural network, SVM, and so forth. We first extend the original measure for its use with continuous functions to later on, using an approach based on the use of the set of Walsh functions, consider the case of having a finite number of data points (inputs/outputs pairs), that is, usually the practical case. Using a set of trigonometric functions a model that gives a relationship between the size of the hidden layer of a neural network and the complexity is constructed. Finally, we demonstrate the application of the introduced complexity measure, by using the generated model, to the problem of estimating an adequate neural network architecture for real-world data sets.http://dx.doi.org/10.1155/2014/815156publishedVersionFil: Gómez, Iván. Universidad de Málaga. Departamento de Lenguajes y Ciencias de la Computación; España.Fil: Franco, Leonardo. Universidad de Málaga. Departamento de Lenguajes y Ciencias de la Computación; España.Fil: Jerez, José M. Universidad de Málaga. Departamento de Lenguajes y Ciencias de la Computación; España.Fil: Cannas, Sergio Alejandro. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.Fil: Osenda, Omar. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.Otras Ciencias de la Computación e Informació

"In vitro" activities of antimycobacterial agents against <i>Mycobacterium avium</i> subsp. <i>paratuberculosis</i> linked to Crohn's disease and paratuberculosis

Crohn's disease, a human disease similar to paratuberculosis in animals is the most painful and devastating disease that may involve infection with M. avium subsp. paratuberculosis (MAP), different genetic polymorphisms and an immune dysregulation syndrome. Treatment of Crohn's disease is most commonly based on 5-aminosalicylic acid (5-ASA) compounds, corticosteroids, and immunosuppressive agents. Recently, biological therapies using monoclonal antibodies against inflammatory cytokines have shown some positive results. However, all these therapies treat the symptoms not the cause of the disease