Results 1 to 10 of about 57,244 (187)
Incremental Learning of Latent Forests
IEEE Access, 2020 In the analysis of real-world data, it is useful to learn a latent variable model that represents the data generation process. In this setting, latent tree models are useful because they are able to capture complex relationships while being easily ...
Fernando Rodriguez-Sanchez +2 more
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IEEE Access, 2023 Educational Recommender Systems (ERSs), intelligent tutoring systems that adapt their pedagogical recommendations to each student, are becoming increasingly common.
Marcos Belver +3 more
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Videojuegos y Teatro en las Escuelas
Revista Portuguesa de Pedagogia, 2015 El objetivo de este trabajo es analizar el impacto de los videojuegos cómo herramientas para aumentar el interés de los jóvenes hacia el teatro clásico. El estudio se ha llevado a cabo en 8 colegios e institutos de la Comunidad de Madrid y ha implicado a
Borja Manero Iglesias +3 more
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Revista Española de Documentación Científica, 2013 La creciente competencia entre organismos científicos por los recursos limitados exige que los investigadores tengan que publicar con calidad y en cantidad.
Alfonso Ibáñez +2 more
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Logical–Mathematical Foundations of a Graph Query Framework for Relational Learning
Mathematics, 2023 Relational learning has attracted much attention from the machine learning community in recent years, and many real-world applications have been successfully formulated as relational learning problems.
Pedro Almagro-Blanco +2 more
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Towards the portability of knowledge in reinforcement learning-based systems for automatic drone navigation [PDF]
PeerJ Computer Science, 2023 In the field of artificial intelligence (AI) one of the main challenges today is to make the knowledge acquired when performing a certain task in a given scenario applicable to similar yet different tasks to be performed with a certain degree of ...
José M. Barreiro +3 more
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Multi-class segmentation of neuronal structures in electron microscopy images
BMC Bioinformatics, 2018 Background Serial block face scanning electron microscopy (SBFEM) is becoming a popular technology in neuroscience. We have seen in the last years an increasing number of works addressing the problem of segmenting cellular structures in SBFEM images of ...
Kendrick Cetina +2 more
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Mathematical and Computational Applications, 2020 We present a novel bi-objective approach to address the data-driven learning problem of Bayesian networks. Both the log-likelihood and the complexity of each candidate Bayesian network are considered as objectives to be optimized by our proposed ...
Vicente-Josué Aguilera-Rueda +2 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
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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
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