Results 21 to 30 of about 2,212,722 (355)

Long Short-Term Memory with Dynamic Skip Connections

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2019
In recent years, long short-term memory (LSTM) has been successfully used to model sequential data of variable length. However, LSTM can still experience difficulty in capturing long-term dependencies. In this work, we tried to alleviate this problem by introducing a dynamic skip connection, which can learn to directly connect two dependent words ...
Yaosong Lin   +6 more
openaire   +4 more sources

THE COMPARISON OF LONG SHORT-TERM MEMORY AND BIDIRECTIONAL LONG SHORT-TERM MEMORY FOR FORECASTING COAL PRICE

open access: yesBarekeng
Coal remains vital for global energy despite recent demand fluctuations due to the COVID-19 pandemic and geopolitical tensions. The International Energy Agency (IEA) projected a decline in global coal demand starting in early 2024, driven by increasing ...
Indra Rivaldi Siregar   +4 more
doaj   +2 more sources

Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss [PDF]

open access: hybridAnnual Meeting of the Association for Computational Linguistics, 2016
Bidirectional long short-term memory (bi-LSTM) networks have recently proven successful for various NLP sequence modeling tasks, but little is known about their reliance to input representations, target languages, data set size, and label noise.
Barbara Plank   +2 more
openalex   +3 more sources

Semantic similarity dissociates short- from long-term recency effects: Testing a neurocomputational model of list memory [PDF]

open access: bronze, 2006
The finding that recency effects can occur not only in immediate free recall (i.e., short-term recency) but also in the continuous-distractor task (i.e., long-term recency) has led many theorists to reject the distinction between short- and long-term ...
Eddy J. Davelaar   +4 more
openalex   +4 more sources

Long Short-Term Memory and Bidirectional Long Short-Term Memory Algorithms for Sentiment Analysis of Skintific Product Reviews [PDF]

open access: yesITM Web of Conferences
In the era of ever-evolving digital technology, conducting customer sentiment analysis through product reviews has become crucial for businesses to improve their offerings and increase customer satisfaction. This research aims to analyze the sentiment of
Simanihuruk Laurensia, Suparwito Hari
doaj   +2 more sources

TRAINING OF THE FUTURE INTERPRETERS’ WORKING MEMORY [PDF]

open access: yesVìsnik Unìversitetu ìmenì Alʹfreda Nobelâ: Serìâ Pedagogìka ì Psihologiâ, 2021
The article is devoted to the issues of functioning and training of short-term and long-term memory of future interpreters. The concept of translation competence is considered, and it is noted that in order for it to be at a rather high level, an ...
Antonina V. Prokopenko, Valeriia M. Rava
doaj   +1 more source

Human Activity Prediction using Long Short Term Memory [PDF]

open access: yesE3S Web of Conferences, 2020
Early symptoms of dementia is one of the causes decrease in quality of life. Human activity recognition (HAR) system is proposed to recognize the daily routines which has an important role in detecting early symptoms of dementia.
Septiadi Jaka, Warsito Budi, Wibowo Adi
doaj   +1 more source

On separating long- and short-term memories in hyperdimensional computing [PDF]

open access: yesFrontiers in Neuroscience, 2023
Operations on high-dimensional, fixed-width vectors can be used to distribute information from several vectors over a single vector of the same width. For example, a set of key-value pairs can be encoded into a single vector with multiplication and addition of the corresponding key and value vectors: the keys are bound to their values with component ...
Jeffrey L. Teeters   +4 more
openaire   +4 more sources

Long Short-Term Memory Neural Equalizer [PDF]

open access: yesIEEE Transactions on Signal and Power Integrity, 2022
A trainable neural equalizer based on the long short-term memory (LSTM) neural network architecture is proposed in this article to recover the channel output signal. The current widely used solution for the transmission line signal recovery is generally realized through a decision feedback equalizer (DFE) or : Feed forward equalizer (FFE) combination ...
Wang, Zihao   +4 more
openaire   +2 more sources

Prediksi Pendapatan Kargo Menggunakan Arsitektur Long Short Term Memory

open access: yesJurnal Komputer Terapan, 2020
Angkutan kargo udara Indonesia saat ini mengalami perkembangan yang cukup signifikan. Salah satu layanan kargo yang terdapat di Indonesia yaitu Garuda Indonesia Cargo dan memiliki beberapa kantor cabang.
Bagas Aji Aprian   +2 more
doaj   +1 more source

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