Results 11 to 20 of about 5,219,627 (290)
DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning
IEEE Access, 2021 Traditional Recommender Systems (RS) use central servers to collect user data, compute user profiles and train global recommendation models. Central computation of RS models has great results in performance because the models are trained using all the ...
Bichen Shi +6 more
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ITNOW, 2021 Abstract Guilty digital leader Jon G Hall CITP FBCS writes, as the old joke goes, there are 10 types of people in this world, those that understand binary and those that don't…
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Revista de la Facultad de Ciencias Médicas de Córdoba, 2019 Antecedentes: El análisis de los accidentes de tránsito desde una perspectiva física y matemática puede ayudar a mejorar las estrategias viales de seguridad.
Javier Oswaldo Rodríguez Velásquez +9 more
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Insight private equity : [Version 18 June 2013] [PDF]
, 2013 We are able to shed light on the black box of restructuring tools private equity investors use to improve the operational performance of their portfolio companies. By building on previous work considering performance evaluation of PE backed companies, we
Gill, Andrej, Visnjic, Nikolai
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Addressing Fast Changing Fashion Trends in Multi-Stage Recommender Systems
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 Fashion industry is driven by fashion cycles, in which a fashion item is launched, rises to mainstream appeal and becomes a trend, then diminishes and eventually becomes obsolete. These properties make it critical to incorporate temporal information when
Aayush Singha Roy +3 more
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Verbalization and problem solving: insight and spatial factors [PDF]
, 2009 Original article can be found at: http://www.bpsjournals.co.uk/ Copyright The British Psychological SocietyTwo groups of participants attempted eight examples of each of four different problem types formed by combining insight v. non-insight and verbal v.
Fioratou, E., Gilhooly, K., Henretty, N.
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Insight into the Neuron’s Insight [PDF]
Cell, 2019 In this issue, Ponce and colleagues use a generative closed-loop system to evolve synthetic images to explore the response properties of neurons in the inferior temporal cortex of non-human primates. The results reveal an unbiased assessment of feature selectivity in a high-level visual area involved in object recognition.
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Humanities & Social Sciences Communications, 2021 The novel coronavirus SARS-CoV-2 and the COVID-19 illness it causes have inspired unprecedented levels of multidisciplinary research in an effort to address a generational public health challenge. In this work we conduct a scientometric analysis of COVID-
Eoghan Cunningham +2 more
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IEEE Access, 2022 Despite many recent advances, state-of-the-art recommender systems still struggle to achieve good performance with sparse datasets. To address the sparsity issue, transfer learning techniques have been investigated for recommender systems, but they tend ...
Qinqin Wang +6 more
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Revista Colombiana de Cardiología, 2012 la geometría fractal evalúa la irregularidad de los objetos naturales, permitiendo caracterizar de forma imparcial la totalidad de la ramificación coronaria izquierda a diferencia de la metodología actual que evalúa únicamente partes de ésta. Con base en
Javier O. Rodríguez, MD +8 more
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