Results 31 to 40 of about 11,481,557 (303)
IET Generation, Transmission & Distribution, 2021 Short‐term load forecasting is essential to power systems management. However, most existing forecasting methods fail to fully consider how to rationally integrate the intrinsic time‐related dimensions of electric load data and the decomposition methods ...
Jiehui Huang +4 more
doaj +1 more source
Evolving Long Short-Term Memory Networks [PDF]
, 2020 Machine learning techniques have been massively employed in the last years over a wide variety of applications, especially those based on deep learning, which obtained state-of-the-art results in several research fields. Despite the success, such techniques still suffer from some shortcomings, such as the sensitivity to their hyperparameters, whose ...
Vicente Coelho Lobo Neto +2 more
openaire +2 more sources
Short-term memory as a working memory control process [PDF]
, 2013 Aben et al. (2012) take issue with the unthoughtful use of the terms “working memory” (WM) and “short-term memory” (STM) in the cognitive and neuroscientific literature.
Eddy J Davelaar +2 more
core +1 more source
Explaining short-term memory phenomena with long-term memory theory: Is a special state involved? [PDF]
, 2023 The idea that some recently encountered items reside in a special state where they do not have to be retrieved has come to be a critical component of short-term memory theories.
Humphreys, Michael S. +7 more
core +1 more source
Dependency-based long short term memory network for drug-drug interaction extraction
BMC Bioinformatics, 2017 Background Drug-drug interaction extraction (DDI) needs assistance from automated methods to address the explosively increasing biomedical texts. In recent years, deep neural network based models have been developed to address such needs and they have ...
Wei Wang +5 more
doaj +1 more source
Bidirectional Long-Short Term Memory for Video Description [PDF]
Proceedings of the 24th ACM international conference on Multimedia, 2016 Video captioning has been attracting broad research attention in multimedia community. However, most existing approaches either ignore temporal information among video frames or just employ local contextual temporal knowledge. In this work, we propose a novel video captioning framework, termed as Bidirectional Long-Short Term Memory (BiLSTM), which ...
Bin, Yi +4 more
openaire +3 more sources
, 2021 Data-intelligent algorithms tailored for short-term energy forecasting can generate meaningful information on the future variability of solar energy developments.
Deo, Ravinesh C. +4 more
core +1 more source
Generating image descriptions with multidirectional 2D long short‐term memory
IET Computer Vision, 2017 Connecting visual imagery with descriptive language is a challenge for computer vision and machine translation. To approach this problem, the authors propose a novel end‐to‐end model to generate descriptions for images.
Shuohao Li +4 more
doaj +1 more source
Linking working memory and long-term memory: A computational model of the learning of new words [PDF]
, 2007 The nonword repetition (NWR) test has been shown to be a good predictor of children’s vocabulary size. NWR performance has been explained using phonological working memory, which is seen as a critical component in the learning of new words.
Julian M. Pine +5 more
core +1 more source