Results 21 to 30 of about 178,365 (208)
Post-training discriminative pruning for RBMs [PDF]
, 2017 One of the major challenges in the area of artificial neural networks is the identification of a suitable architecture for a specific problem. Choosing an unsuitable topology can exponentially increase the training cost, and even hinder network ...
Albornoz, Enrique Marcelo +3 more
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Extending XNAT Platform with an Incremental Semantic Framework
Frontiers in Neuroinformatics, 2017 Informatics increases the yield from neuroscience due to improved data. Data sharing and accessibility enable joint efforts between different research groups, as well as replication studies, pivotal for progress in the field.
Santiago Timón +4 more
doaj +1 more source
, 2014 Este libro es una introducción al area de la Inteligencia Artificial y presenta algunas de las aplicaciones que puede tener en la vida real en diversos campos de aplicación, El libro esta compuesto de ocho capítulos los cuales abarcan los antededentes, algunos conceptos importantes para la resolución de problemas como es la representación de ...
Ponce Gallegos, Julio Cesar +13 more
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Enseñanza de Inteligencia Artificial e Ingeniería del Conocimiento [PDF]
, 1997 nivel mundial en la unificación de los contenidos que se imparten en el primer curso que un estudiante de Informática recibe en Inteligencia Artificial e Ingeniería del Conocimiento (INCO).
Gómez-Pérez, A., Montes, C.
core +2 more sources
Predicting no-shows at outpatient appointments in internal medicine using machine learning models [PDF]
PeerJ Computer ScienceThe high prevalence of patient absenteeism in medical appointments poses significant challenges for healthcare providers and patients, causing delays in service delivery and increasing operational inefficiencies.
Felipe Ocampo Osorio +6 more
doaj +2 more sources
La regimentación tecnológica: Inteligencia artificial, fascismo, agresión y sociedad democrática
Revista TeknokulturaLos sistemas artificiales inteligentes son instrumentos sofisticados que nos ayudan a tomar decisiones y actuar en un mundo híbrido, simbiótico, entre humanos y máquinas.
Pompeu Casanovas Romeu +1 more
doaj +1 more source
Extreme learning machines for reverse engineering of gene regulatory networks from expression time series [PDF]
, 2017 The reconstruction of gene regulatory networks (GRNs) from genes profiles has a growing interest in bioinformatics for understanding the complex regulatory mechanisms in cellular systems.
Milone, Diego Humberto +2 more
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The anesthesiologist’s guide to critically assessing machine learning research: a narrative review
BMC AnesthesiologyArtificial Intelligence (AI), especially Machine Learning (ML), has developed systems capable of performing tasks that require human intelligence. In anesthesiology and other medical fields, AI applications can improve the precision and efficiency of ...
Felipe Ocampo Osorio +3 more
doaj +1 more source
Revista Española de Documentación Científica, 2016 Los dispositivos móviles inteligentes han fomentado en los últimos años nuevos escenarios de interacción que requieren interfaces persona-máquina más sofisticados.
David Griol +2 more
doaj +1 more source
IoT Based Smart Electrical Meter for Smart Homes [PDF]
EAI Endorsed Transactions on Internet of Things, 2020 The mankind’s home has evolved as humanity itself and through history, humanity has observed the safetyand comfort of their homes. The adaptation of homes to the modern times, is now involved in a technologicalenvironment and constant innovation ...
Ma. Martinez-Blanco +6 more
doaj +1 more source