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Subjects / keywords: Ordenadores; Programación; Algoritmos

Subjects / keywords: WIRTH, NIKLAUS; PRENTICE-HALL; 005.12 W799a

La localización de servicios (“Facility location” en inglés) pretende encontrar el emplazamiento de uno o más centros (servicios) de modo que se optimice una determinada función objetivo. Dicha función objetivo pu...

The development of digital technologies, capable of analysing massive amounts of data, has led to the widespread implementation of data processing technologies and automated decision-making processes in many areas of hum...

Subjects / keywords: WILDE, DANIEL U; PRENTICE-HALL; 005.113 W671i

Subjects / keywords: SEDGEWICK, ROBERT; ADDISON WESLEY; 518.1 S448a2

Subjects / keywords: THEUNIVERSIY OF CHICAGO PRESS; 616.988 G345g

Classi cation and regression ensembles sho w generalization capabilities that outperform those of single predictors. We present here a further ev aluation of tw o algorithms for ensemble construction recently proposed by...

Tardiness related objectives are of utmost importance in production systems when client satisfaction is a main goal of a company. These objectives measure the system response to the client requirements and rate manager´...

Parallel machine scheduling, also known as parallel task scheduling, involves the assignment of multiple tasks onto the system architecture’s processing components (a bank of machines in parallel). A basic model invol...

Numerical Taxonomy aims to group in clusters, using so-called structure analysis of operational taxonomic units (OTUs or taxons or taxa) through numerical methods. Clusters that consitute families was the purpose of this...

Now in its second edition, Nursing Facts Made Incredibly Quick! is the point-of-care reference that every nurse in every specialty needs. This pocket-sized book of clinical tools provides instant access to information th...

Operations Research, Management Science or Business Analytics is a technology that helps improve business decision making. This book is focused on linear, integer, nonlinear and multiobjective programming, as well as mul...

Globalization and new technologies with their breakneck competitiveness and speed of doing business have driven the development of e-commerce, changing the way products are sold and bought today. The new digital era in w...

What is the predictive accuracy and effectiveness of algorithms designed for crime prevention purposes? Are they sufficiently transparent? Are there any inherent biases? This report presents an analysis of three algorith...

Social networking sites have enabled a high connectedness leading to unprecedented interactive dynamics. Social workers are using these digital means and are generating communities of practice through which they cooperat...

The growing number of control models based on combinations of neural networks, fuzzy systems and evolutionary algorithms shows that they represent a flexible and powerful approach. However, most of these models assume th...

Boundary extraction is an important procedure associated with recognition and interpretation tasks in digital image processing and computer vision. Most of the segmentation techniques are based on the detection of the lo...

Hybrid dynamic spatial approximation trees are recently proposed data structures for searching in metric spaces, based on combining the concepts of spatial approximation and pivot based algorithms. These data structures ...

In evolutionary algorithms based on genetics, the crossover operation creates individuals by interchanging genes. On the other side selection mechanisms aim to favour reproduction of better individuals imposing a directi...

The paper presents an analysis of three parallelization structures of the N-queens problem, taking into account N processors. The focus has been set on investigating the adaptation of the architecture structure to the pr...

El ensayo presenta el proyecto AMIA (Ambiente Multiagente Interactivo de Aprendizaje), cuyo principal objetivo es definir un modelo de formación continuada que complete el uso de tecnologías en el proceso educativo, po...

We present a study of using fuzzy-based parameters for solving public bus routing problem where demand is uncertain. The fuzzy-based parameters are designed to provide data required by the route selection procedure. The ...

The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML applications have been developed, such as da...