Results 41 to 50 of about 1,746,473 (345)

Tree Memory Networks for Modelling Long-term Temporal Dependencies

, 2018
In the domain of sequence modelling, Recurrent Neural Networks (RNN) have been capable of achieving impressive results in a variety of application areas including visual question answering, part-of-speech tagging and machine translation.
Denman, Simon, Fernando, Tharindu, Fookes, Clinton, McFadyen, Aaron, Sridharan, Sridha   +4 more
core   +1 more source

Klasifikasi Ekspresi Teks Berbahasa Jawa Menggunakan Algoritma Long Short Term Memory

Komputika, 2021
Bahasa Jawa bisa dikatakan Bahasa yang unik karena bahasa Jawa mempunyai banyak arti meskipun satu kata yang sama tetapi beda daerah. Suku Jawa adalah suku terbesar yaitu 41% atau sekitar 95.217.022 jiwa.
Oddy Virgantara Putra, Aziz Musthafa, Kukuh Prasetyo Wibowo   +2 more
doaj   +1 more source

Associative Long Short-Term Memory

, 2016
ICML ...
Danihelka, Ivo, Wayne, Greg, Uria, Benigno, Kalchbrenner, Nal, Graves, Alex   +4 more
openaire   +2 more sources

Long Short-Term Memory with Dynamic Skip Connections

, 2018
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.
Gong, Jingjing, Gui, Tao, Huang, Xuanjing, Lin, Yaosong, Peng, Minlong, Zhang, Qi, Zhao, Lujun   +6 more
core   +1 more source

Machine Learning-Based Forecasting of Bitcoin Price Movements

Proceedings of the International Conference on Applied Innovations in IT
In the volatile realm of cryptocurrency markets, this research explores the intricate dance of Bitcoin price dynamics through the lens of machine learning. Employing a multifaceted approach, we harness the power of Long Short-Term Memory (LSTM) networks,
Darko Angelovski, Bojana Velichkovska, Goran Jakimovski, Danijela Efnusheva, Marija Kalendar   +4 more
doaj   +1 more source

Optimization based Long Short Term Memory Network for Protein Structure Prediction

U.Porto Journal of Engineering, 2022
One of the challenging tasks in computational biology is the anticipation of protein secondary structure (PSS) from amino acid sequences. Numerous computational and statistical methods are used for this purpose.
Pravinkumar Sonsare, Gunavathi C.
doaj   +1 more source

Grid Long Short-Term Memory

, 2015
15 ...
Kalchbrenner, Nal, Danihelka, Ivo, Graves, Alex   +2 more
openaire   +2 more sources

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, Leandro Aparecido Passos, João Paulo Papa   +2 more
openaire   +1 more source

Interaction Quality Estimation Using Long Short-Term Memories [PDF]

Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017
Comunicació presentada a SIGDIAL 2017 Conference, the 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue, celebrada del 15 al 17 d'agost a Saarbrucken, Alemanya.
Rach, Niklas, Minker, Wolfgang, Ultes, Stefan   +2 more
openaire   +2 more sources

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks [PDF]

, 2015
Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have obtained strong results on a variety of sequence ...
Manning, Christopher D., Socher, Richard, Tai, Kai Sheng   +2 more
core   +1 more source