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Una aproximación al uso de word embeddings en una tarea de similitud de textos en español
(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2016)
En este trabajo mostramos cómo una representación vectorial de palabras basada en word embeddings puede ayudar a mejorar los resultados en una tarea de similitud semántica de textos. Para ello hemos experimentado con dos ...
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Minería de Datos: Conceptos y Tendencias
(IBERAMIA : Sociedad Iberoamericana de Inteligencia Artificial, 2006)
Hoy en día, la minería de datos (MD) está consiguiendo cada vez más captar la atención de las empresas. Todavía es infrecuente oír frases como “deberíamos segmentar a nuestros clientes utilizando herramientas de MD”, “la ...
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Knowledge-Based Fast Evaluation for Evolutionary Learning
(IEEE, 2005)
The increasing amount of information available is encouraging the search for efficient techniques to improve the data mining methods, especially those which consume great computational resources, such as evolutionary ...
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Evaluating Enterprise Content Management Tools in a Real Context
(SCIRP: Scientific Research Publishing, 2015)
Managing documentation in a suitable way has become a critical issue for any organization. Or ganizations depend on the information they store and they are required to have appropriate mechanisms to support the functional ...
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Integrating Semantic Web Services Ranking Mechanisms Using a Common Preference Model
(Elsevier, 2013)
Service ranking has been long-acknowledged to play a fundamental role in helping users to select the best o erings among services retrieved from a search request. There exist many ranking mechanisms, each one providing ...
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A framework and tool to manage Cloud Computing service quality
(Springer, 2015)
Cloud Computing has generated considerable interest in both companies specialized in Information and Communication Technology and business context in general. The Sourcing Capability Maturity Model for service (e-SCM) ...
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Evolutionary feature selection to estimate forest stand variablesusing LiDAR
(Elsevier, 2014)
Light detection and ranging (LiDAR) has become an important tool in forestry. LiDAR-derived models are mostly developed by means of multiple linear regression (MLR) after stepwise selection of predictors. An increasing ...
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Soft computing methods for the prediction of protein tertiary structures: A survey
(Elsevier, 2015)
The problem of protein structure prediction (PSP) represents one of the most important challenges in computational biology. Determining the three dimensional structure of proteins is necessary to under stand their functions ...
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A Domain-Specific Language to Design Enterprise Application Integration Solutions
(World Scientific, 2011)
Enterprise Application Integration (EAI) solutions cope with two kinds of problems within software ecosystems, namely: keeping a number of application’s data in synchrony or creating new functionality on top of them. ...
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Simulation Modeling for Service-Oriented Development
(Software Engineering Competence Center, 2008-01)
As a consequence of the growing customer orientation of business, organizations are now showing a big interest in the development of technological solutions that allow them both to offer a quick respond to their customers ...