The long memory of newspapers' subscriptions: between the short-run and persistence response [PDF]
The mainstream of marketing time series analysis has shifted from classical short-range dependence (ARMA, transfer functions and VAR models). However, in cases where purchase decisions entail some commitment (e.g., a subscription selling periodic use of ...
Mercedes Esteban Bravo +1 more
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Drug Analogs from Fragment Based Long Short-Term Memory Generative Neural Networks
, 2019 Several recent reports have shown that long short-term memory generative neural networks (LSTM) of the type used for grammar learning efficiently learn to write SMILES of drug-like compounds when trained with SMILES from a database of bioactive compounds
Finton, Sirockin +3 more
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ANALYSIS OF LONG SHORT – TERM MEMORY (LSTM) PARAMETERS IN PREDICTING IHSG
JOHME: Journal of Holistic Mathematics EducationFor investors looking to enhance the value of their financial assets, stock investment is a popular choice. A Long Short-Term Memory (LSTM) model will be used to forecast the movement of the Indonesia Composite Index (IHSG) in the domestic capital ...
Daud Padut Aritiran Remetwa +4 more
doaj +1 more source
Extreme-Long-short term memory for Time-series Prediction
, 2023 This thesis introduces a novel neural network, the Extreme Long Short-Term Memory (E-LSTM), combine the advantages of Long Short-Term Memory (LSTM) networks and Extreme Learning Machines (ELM).
Sida Xing (4180396)
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RETRIEVAL PROCESS IN FREE RECALL CREATES ERRORS IN SHORT TERM MEMORY BUT NOT IN LONG TERM MEMORY
RUDN Journal of Psychology and Pedagogics, 2015 An analysis of free recall errors shows that the free recall retrieval process in short term memory is accompanied by a linear rise in errors, without discontinuities, invalidating short term memory models in which stores or states are sequentially ...
Eugen Tarnow
doaj
Memory limits : give us an answer! [PDF]
, 2000 Cowan has written a meticulous and thought-provoking review of the literature on short-term memory. However, reflections on one area of evidence, that of working memory span, shows the extent to which the research debate can be circumscribed by choice of
Towse, John N.
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Detecting Spamming Reviews Using Long Short-term Memory Recurrent Neural Network Framework
, 2018 Some unethical companies may hire workers (fake review spammers) to write reviews to influence consumers' purchasing decisions. However, it is not easy for consumers to distinguish real reviews posted by ordinary users or fake reviews post by fake review
Jia-Wei Liou +4 more
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What do nurses want? critical factors in recruiting and retaining RNs in long-term care
, 1992 Title from cover of PDF document (viewed June 27, 2005); at head of title: Ohio Long-Term Care Research Project.; "January 1992."; Includes bibliographical references (p.
Ohio Long-Term Care Research Project. +1 more
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Bidirectional Long Short-Term Memory Variational Autoencoder. [PDF]
, 2018 Abstract Variational Autoencoder (VAE) has achieved promising success since its emergence. In recent years, its various variants have been developed, especially those works which extend VAE to handle sequential data [1, 2, 5, 7]. However, these works either do not generate sequential latent variables, or encode latent variables only based on inputs ...
Zhao Guoying +3 more
openaire +1 more source
Rapid acquisition of long spatial sequences in long-term memory
, 2012 Learning complex movement sequences requires an active, attentional selection of the content that is learned. The selection mechanism can not be investigated in classical stimulus-guided sequence learning paradigms because it requires a movement sequence
Drever, Johannes
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