Distribution-Based Categorization of Classifier Transfer Learning

Transfer Learning (TL) aims to transfer knowledge acquired in one problem, the source problem, onto another problem, the target problem, dispensing with the bottom-up construction of the target model. Due to its relevance, TL has gained significant interest in the Machine Learning community since it paves the way to devise intelligent learning models that can easily be tailored to many different applications. As it is natural in a fast evolving area, a wide variety of TL methods, settings and nomenclature have been proposed so far. However, a wide range of works have been reporting different names for the same concepts. This concept and terminology mixture contribute however to obscure the TL field, hindering its proper consideration. In this paper we present a review of the literature on the majority of classification TL methods, and also a distribution-based categorization of TL with a common nomenclature suitable to classification problems. Under this perspective three main TL categories are presented, discussed and illustrated with examples

Holographic Description of Finite Size Effects in Strongly Coupled Superconductors

Despite its fundamental and practical interest, the understanding of mesoscopic effects in strongly coupled superconductors is still limited. Here we address this problem by studying holographic superconductivity in a disk and a strip of typical size $\ell$. For $\ell < \ell_c$, where $\ell_c$ depends on the chemical potential and temperature, we have found that the order parameter vanishes. The superconductor-metal transition at $\ell = \ell_c$ is controlled by mean-field critical exponents which suggests that quantum and thermal fluctuations induced by finite size effects are suppressed in holographic superconductors. Intriguingly, the effective interactions that bind the order parameter increases as $\ell$ decreases. Most of these results are consistent with experimental observations in Pb nanograins at low temperature and qualitatively different from the ones expected in a weakly coupled superconductor.Comment: 4 pages, 3 figure

Analysis of the quality of life after an endoscopic thoracic sympathectomy : a business intelligence approach

Primary hyperhidrosis, a disorder characterized by an excessive sweating, has been treated by endoscopic thoracic sympathectomy. As a consequence of the surgery, patients improved their overall quality of life. Their day-by-day activities are not affected, or are less affected, by this disorder, and their emotional state verifies a significant improvement, from a situation of shame and self-punishing to what we could say a normal life. This paper presents the analysis of the quality of life of 227 patients that were treated by an endoscopic thoracic sympathectomy. The study was based on the use of business intelligence technologies, which allowed the storage, the analysis and the reporting of all the relevant findings. In technological terms, this paper illustrates the database and data analysis developments needed in a specific healthcare application domain. For data storage, a data mart was designed addressing the relevant attributes. For data analysis, on-line analytical processing and data mining technologies were used to show the evolution of the patients’ health condition and the incidence of complications or side effects as consequence of the surgery.(undefined

Social diversity favors the emergence of cooperative behavior

Throughout their life, humans often engage in public goods games in situations ranging from family related issues to global warming. In all cases, the tragedy of the commons threatens the possibility of reaching the optimal solution associated with global cooperation. Up to now, individuals have been treated as equivalent in all respects, in sharp contrast with real life situations, where diversity abounds. Here we discuss the results reported in [Santos et al. Nature (2008) 454:213-6], where we show how social diversity provides an escape from this paradox. We investigate the impact of social diversity in the evolution of cooperation in complex networks of interaction. We show that the diversity in the number and size of the collective endeavors each individual participates and with the individual contribution to each investment promotes cooperation. The enhancement of cooperation is particularly strong when both wealth and social ties follow a power-law distribution, providing clues on the self-organization of social communities.SCOPUS: cp.pinfo:eu-repo/semantics/publishe

Implementação de um sistema de Business Intelligence para a análise da qualidade de vida pré e pós-operatória

A hiperhidrose primária é provocada por uma disfunção do sistema nervoso simpático e é caracterizada por uma sudorese excessiva, a qual condiciona a qualidade de vida dos pacientes que possuem esta doença. A simpaticectomia é uma técnica cirúrgica que pode ser utilizada no tratamento da hiperhidrose primária. Este capítulo apresenta a análise da qualidade de vida de 227 pacientes que foram submetidos a uma simpaticectomia torácica endoscópica. As análises efectuadas recorreram a um sistema de Business Intelligence (BI), o qual permitiu o armazenamento, a manipulação e a análise dos dados recolhidos. Para o armazenamento dos dados foi concebido um Data Mart e para a sua análise foram utilizadas as tecnologias On-line Analytical Processing (OLAP) e Data Mining. A análise dos dados recolhidos permitiu verificar a evolução da qualidade de vida dos pacientes e, ainda, a incidência de complicações ou efeitos secundários como consequência da cirurgia

Multiplier adjustment in data envelopment analysis

Congresso organizado pela Efiusco, realizado em Córdoba de 19-20 de Maio de 2011Weights restriction is a well-known technique in the DEA field. When those techniques are applied,weights cluster around its new limits, making its evaluation dependent of its levels. This paper introduces a new approach to weights adjustment by Goal Programming techniques, avoiding the imposition of hard restrictions that can even lead to unfeasibility. This method results in models that are more flexible

Modification of polyamide 6.6 dyeing properties by grafting with poly(acrylic acid)

978-972-8063-67-2The wet chemical surface modification continues to be a growing area of research interest. This study describes preparation and characterization of poly (acrylic acid)-grafted polyamide 6.6 fabric. Poly(acrylic acid) has been grafted onto polyamide backbone using benzoyl peroxide (BPO) as catalyst in aqueous medium. The benzoyl peroxide initiator optimum concentration was 0.03 M. The best conditions for optimum grafting reaction were reaction time 120 min, grafting temperature 85°C, monomer concentration 0.5 M and BPO concentration 0.03 M. The grafting rate was evaluated gravimetrically. The maximum grafting percentage obtained was 13.3%. All samples were characterized by Fourier–transform infrared spectroscopy with attenuated total reflectance (FTIR-ATR). The influence of acrylic acid grafting onto polyamide 6.6 was studied in terms of dye uptake using a basic dye, Rouge Maxilon GRL. Mechanical properties were also analysed

Open-Source software in OR education

24th European Conference on Operational Research (EURO XXIV). Lisboa, 11 a 14 de Julho de 2010 (Comunicação).This contribution will focus on Computational Tools of Open-Source Software in OR Education. Some educational experiences in the area of Forecasting; Simulation; Graphs and Networks; Decision Theory and Linear Programming based on: R 2.10.0, Scilab 5.1.1 and an Open Source Spreadsheet will be illustrated, with a brief reference to the acceptance of pupils and colleagues