Results 21 to 30 of about 395,648 (314)
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
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Prediksi Harga Cryptocurrency Menggunakan Algoritma Long Short Term Memory (LSTM)
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 Technological developments continue to encourage the creation of various innovations in almost all aspects of human life. One of the innovations that is becoming a worldwide phenomenon today is the presence of cryptocurrency as a digital currency that is
Moch Farryz Rizkilloh, Sri Widiyanesti
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Long Short-Term Memory Neural Equalizer [PDF]
IEEE Transactions on Signal and Power Integrity, 2022 In this work we propose a neuromorphic hardware based signal equalizer by based on the deep learning implementation. The proposed neural equalizer is plasticity trainable equalizer which is different from traditional model designed based DFE. A trainable Long Short-Term memory neural network based DFE architecture is proposed for signal recovering and ...
Wang, Zihao +5 more
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Heliyon, 2023 Sentiment analysis is the process of recognizing positive or negative attitudes in text. This technique makes use of computational linguistics, text analysis, and natural language processing.
David Opeoluwa Oyewola +4 more
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Video Summarization with Long Short-Term Memory [PDF]
, 2016 We propose a novel supervised learning technique for summarizing videos by automatically selecting keyframes or key subshots. Casting the problem as a structured prediction problem on sequential data, our main idea is to use Long Short-Term Memory (LSTM), a special type of recurrent neural networks to model the variable-range dependencies entailed in ...
Ke Zhang 0028 +3 more
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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
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Relational and conjunctive binding functions dissociate in short-term memory [PDF]
, 2015 Remembering complex events requires binding features within unified objects (conjunctions) and holding associations between objects (relations). Recent studies suggest that the two functions dissociate in long-term memory (LTM). Less is known about their
Della Sala, Sergio +7 more
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Effects of short-term memory contents on short-and long-term memory searches [PDF]
Memory & Cognition, 1973 The Ss memorized a long-term set (LT set) of 20 words before participating in a recognition memory test. On each trial Ss were given a new short-term set (ST set) of from one to four words or one to four digits. The Ss gave a positive response to a test item that was a member of either the ST or the LT set and gave a negative response to a test item ...
Mohs, Richard C. +2 more
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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 0007 +6 more
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