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1000 tulosta hakusanalla Jorge Miranda-Alicea

Inteligencia de negocios en la toma de decisiones, aplicacion practica

Inteligencia de negocios en la toma de decisiones, aplicacion practica

Jorge Miranda

Editorial Academica Espanola
2018
nidottu
El presente libro tiene como objetivo dar a conocer el desarrollo de una herramienta de gesti n electr nica, que permita centralizar datos concerniente al Departamento de Tecnolog as sobre temas de relevancia provenientes de otras reas, que beneficie la toma de decisiones de esta dependencia. Para esto se utiliz las herramientas: APEX 5.0, que integra el concepto de Business Inteligence para el manejo de datos; y Tableau 10.0 que permite el an lisis predictivo de la informaci n obtenida.
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Probabilistic Approaches to Robotic Perception

Probabilistic Approaches to Robotic Perception

João Filipe Ferreira; Jorge Miranda Dias

Springer International Publishing AG
2013
sidottu
This book tries to address the following questions: How should the uncertainty and incompleteness inherent to sensing the environment be represented and modelled in a way that will increase the autonomy of a robot? How should a robotic system perceive, infer, decide and act efficiently? These are two of the challenging questions robotics community and robotic researchers have been facing.The development of robotic domain by the 1980s spurred the convergence of automation to autonomy, and the field of robotics has consequently converged towards the field of artificial intelligence (AI). Since the end of that decade, the general public’s imagination has been stimulated by high expectations on autonomy, where AI and robotics try to solve difficult cognitive problems through algorithms developed from either philosophical and anthropological conjectures or incomplete notions of cognitive reasoning. Many of these developments do not unveil even a few of the processes through which biological organisms solve these same problems with little energy and computing resources. The tangible results of this research tendency were many robotic devices demonstrating good performance, but only under well-defined and constrained environments. The adaptability to different and more complex scenarios was very limited.In this book, the application of Bayesian models and approaches are described in order to develop artificial cognitive systems that carry out complex tasks in real world environments, spurring the design of autonomous, intelligent and adaptive artificial systems, inherently dealing with uncertainty and the “irreducible incompleteness of models”.
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Probabilistic Approaches to Robotic Perception

Probabilistic Approaches to Robotic Perception

João Filipe Ferreira; Jorge Miranda Dias

Springer International Publishing AG
2015
nidottu
This book tries to address the following questions: How should the uncertainty and incompleteness inherent to sensing the environment be represented and modelled in a way that will increase the autonomy of a robot? How should a robotic system perceive, infer, decide and act efficiently? These are two of the challenging questions robotics community and robotic researchers have been facing.The development of robotic domain by the 1980s spurred the convergence of automation to autonomy, and the field of robotics has consequently converged towards the field of artificial intelligence (AI). Since the end of that decade, the general public’s imagination has been stimulated by high expectations on autonomy, where AI and robotics try to solve difficult cognitive problems through algorithms developed from either philosophical and anthropological conjectures or incomplete notions of cognitive reasoning. Many of these developments do not unveil even a few of the processes through which biological organisms solve these same problems with little energy and computing resources. The tangible results of this research tendency were many robotic devices demonstrating good performance, but only under well-defined and constrained environments. The adaptability to different and more complex scenarios was very limited.In this book, the application of Bayesian models and approaches are described in order to develop artificial cognitive systems that carry out complex tasks in real world environments, spurring the design of autonomous, intelligent and adaptive artificial systems, inherently dealing with uncertainty and the “irreducible incompleteness of models”.
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Conflicto y Multiculturalidad

Conflicto y Multiculturalidad

Jorge Antonio Gonzales Miranda

Editorial Academica Espanola
2018
pokkari
El objetivo de la investigaci n, de tipo cualitativa, consiste en analizar los hechos y derechos conculcados a la Comunidad Nativa Tres Islas desde la mirada de los Derechos Humanos, la problem tica de la multiculturalidad y los conceptos de Educaci n y Cultura de Paz. Estos ejes sobre los que gira la investigaci n, traducen una realidad latente donde se contin a excluyendo a los ind genas de los mbitos socio - jur dicos; lamentablemente solo se respetan los par metros culturales impuestos por Occidente desconociendo las otras cosmovisiones. La finalidad es reivindicar la cultura ind gena en aras de lograr el reconocimiento de sus derechos e instituciones y alcanzar la tan ansiada integraci n socio - jur dica.
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Data for Better Governance

Data for Better Governance

Chiara Casanova; Serena Cocciolo; Galileu Kim; Timothy Lundy; Jorge de León Miranda; Daniel Rogger; Flavio Sacco; Juan Francisco Santini

WORLD BANK PUBLICATIONS
2025
nidottu
This report provides a conceptual framework to assess and provide guidance on the government analytics agenda in Latin America and the Caribbean, and how the region can harvest the benefits of GovTech investments.
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