Results 21 to 30 of about 1,741,359 (199)
Get the gist? The effects of processing depth on false recognition in short-term and long-term memory [PDF]
, 2014 Gist-based processing has been proposed to account for robust false memories in the converging-associates task. The deep-encoding processes known to enhance verbatim memory also strengthen gist memory and increase distortions of long-term memory (LTM ...
Flegal, Kristin E. +1 more
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Compositional Distributional Semantics with Long Short Term Memory [PDF]
, 2015 We are proposing an extension of the recursive neural network that makes use of a variant of the long short-term memory architecture. The extension allows information low in parse trees to be stored in a memory register (the `memory cell') and used much ...
Le, Phong, Zuidema, Willem
core +2 more sources
Human activity recognition making use of long short-term memory techniques [PDF]
, 2019 The optimisation and validation of a classifiers performance when applied to real world problems is not always effectively shown. In much of the literature describing the application of artificial neural network architectures to Human Activity ...
Shenfield, Alex, Wainwright, Richard
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Long-term associative learning predicts verbal short-term memory performance [PDF]
, 2017 Studies using tests such as digit span and nonword repetition have implicated short-term memory across a range of developmental domains. Such tests ostensibly assess specialized processes for the short-term manipulation and maintenance of information ...
A Murray +62 more
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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
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
Continual Learning Long Short Term Memory [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 Catastrophic forgetting in neural networks indicates the performance decreasing of deep learning models on previous tasks while learning new tasks. To address this problem, we propose a novel Continual Learning Long Short Term Memory (CL-LSTM) cell in Recurrent Neural Network (RNN) in this paper.
Xin Guo +6 more
openaire +1 more source
Long Short-Term Memory Spatial Transformer Network
, 2019 Spatial transformer network has been used in a layered form in conjunction with a convolutional network to enable the model to transform data spatially.
Chen, Tianyue, Feng, Shiyang, Sun, Hao
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The Effects of Regular Pilates Exercise on Long-Term and Short-Term Memory of the Elderly [PDF]
روانشناسی پیری, 2017 In today’s world, the issue of physical and psychological health and well-being of the elderly is one of the most important global concerns. Evidence suggests that physical activity can improve mental and cognitive performance and also play a role in ...
Nayereh Joolaei +2 more
doaj
Location Prediction of Sperm Cells Using Long Short‐Term Memory Networks
Advanced Intelligent Systems, 2023 Intracytoplasmic sperm injection (ICSI) requires precise selection of a single sperm cell in a dish to be injected into an oocyte. This task is challenging due to high sperm velocity, collision with other sperm cells, and changes in the imaging focus ...
Lioz Noy +5 more
doaj +1 more source