Results 31 to 40 of about 1,746,473 (345)

Compositional Distributional Semantics with Long Short Term Memory [PDF]

open access: yes, 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

Dependency-based long short term memory network for drug-drug interaction extraction

open access: yesBMC 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

Intrinsically Sparse Long Short-Term Memory Networks

open access: yesarXiv, 2019
Long Short-Term Memory (LSTM) has achieved state-of-the-art performances on a wide range of tasks. Its outstanding performance is guaranteed by the long-term memory ability which matches the sequential data perfectly and the gating structure controlling the information flow.
Liu, Shiwei   +2 more
openaire   +3 more sources

Independence of long-term contextual memory and short-term perceptual hypotheses: evidence from contextual cueing of interrupted search [PDF]

open access: yes, 2016
Observers are able to resume an interrupted search trial faster relative to responding to a new, unseen display. This finding of rapid resumption is attributed to short-term perceptual hypotheses generated on the current look and confirmed upon ...
Geyer, T.   +3 more
core   +1 more source

Generating image descriptions with multidirectional 2D long short‐term memory

open access: yesIET 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

Prediksi Gender Berdasarkan Nama Bahasa Indonesia Menggunakan Long Short Term Memory

open access: yesJuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2023
Prediksi gender merupakan salah satu bentuk dari program yang dapat melakukan prediksi yang mengeluarkan output berupa jenis gender. Pada riset yang dilakukan pada studi kasus ini, kami menggunakan input berupa teks nama orang Indonesia.
Arya Mulya Kusuma   +5 more
doaj   +1 more source

Long Short-Term Memory Spatial Transformer Network

open access: yes, 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
core   +1 more source

The Effects of Regular Pilates Exercise on Long-Term and Short-Term Memory of the Elderly [PDF]

open access: yesروانشناسی 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

open access: yesAdvanced 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

Malware Classification using Long Short-term Memory Models

open access: yesProceedings of the 7th International Conference on Information Systems Security and Privacy, 2021
Signature and anomaly based techniques are the quintessential approaches to malware detection. However, these techniques have become increasingly ineffective as malware has become more sophisticated and complex. Researchers have therefore turned to deep learning to construct better performing model.
Dang, Dennis   +2 more
openaire   +3 more sources

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