Results 41 to 50 of about 1,741,359 (199)

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

Categorisation of power quality problems using long short‐term memory networks

open access: yesIET Generation, Transmission & Distribution, 2021
Recognition of power quality (PQ) troubles is a critical task in the electrical power system. All previous works solve this problem using two‐step methodology: Feature extraction and classification steps with each step using its own techniques, and this ...
Abdelazeem A. Abdelsalam   +2 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

Machine Learning Models for Classification of Human Emotions Using Multivariate Brain Signals

open access: yesComputers, 2022
Humans can portray different expressions contrary to their emotional state of mind. Therefore, it is difficult to judge humans’ real emotional state simply by judging their physical appearance.
Shashi Kumar G. S.   +3 more
doaj   +1 more source

Video Summarization with Long Short-Term Memory [PDF]

open access: yes, 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 ...
Zhang, Ke   +3 more
openaire   +2 more sources

Effects of short-term memory contents on short-and long-term memory searches [PDF]

open access: yesMemory & 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
openaire   +3 more sources

Short-term plasticity as cause-effect hypothesis testing in distal reward learning [PDF]

open access: yes, 2014
Asynchrony, overlaps and delays in sensory-motor signals introduce ambiguity as to which stimuli, actions, and rewards are causally related. Only the repetition of reward episodes helps distinguish true cause-effect relationships from coincidental ...
Soltoggio, Andrea
core   +2 more sources

Vietnamese Text Classification Algorithm using Long Short Term Memory and Word2Vec

open access: yesИнформатика и автоматизация, 2020
In the context of the ongoing forth industrial revolution and fast computer science development the amount of textual information becomes huge. So, prior to applying the seemingly appropriate methodologies and techniques to the above data processing ...
Huu Nguyen Phat, Nguyen Thi Minh Anh
doaj   +1 more source

Long short-term memory networks in memristor crossbars

open access: yes, 2018
Recent breakthroughs in recurrent deep neural networks with long short-term memory (LSTM) units has led to major advances in artificial intelligence. State-of-the-art LSTM models with significantly increased complexity and a large number of parameters ...
Barnell, Mark   +16 more
core   +1 more source

Semantic similarity dissociates shortfrom long-term recency effects: testing a neurocomputational model of list memory [PDF]

open access: yes, 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
core   +1 more source

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