Results 21 to 30 of about 439,227 (216)

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 ...
Marius Usher   +7 more
core   +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 ...
Ke Zhang 0028   +3 more
openaire   +2 more sources

Aircraft Gearbox Fault Diagnosis System: An Approach based on Deep Learning Techniques

open access: yesJournal of Intelligent Systems, 2020
Gearbox is one of the vital components in aircraft engines. If any small damage to gearbox, it can cause the breakdown of aircraft engine. Thus it is significant to study fault diagnosis in gearbox system.
Mallikarjuna P B   +3 more
doaj   +1 more source

THE PSYCHOLINGUISTIC BASIS OF THE LINGUISTIC CONCEPTUALIZATION

open access: yesRevista de Investigaciones Universidad del Quindío, 2022
   The object of this article is the methodology of psycholinguistics concerning analyzing concepts. The article's relevance is due to the need to apply new approaches to linguistic phenomena analysis, for which a purely linguistic methodology is not
Zhao Yuanze   +3 more
doaj   +1 more source

Associative Long Short-Term Memory

open access: yesCoRR, 2016
ICML ...
Ivo Danihelka   +4 more
openaire   +3 more sources

Performance optimization for Intrusion Detection by Long Short Term Memory (LSTM) [PDF]

open access: yesE3S Web of Conferences, 2023
Concerns about cyber threats have emerged as the expansion of system connectivity and the proliferation of system applications intensified in the industry.
Khatkar Monika   +8 more
doaj   +1 more source

Effect of acute predator stress on learning and memory in a zebrafish model

open access: yesNational Journal of Physiology, Pharmacy and Pharmacology, 2023
Background: In zebrafish, the stress system is represented by the hypothalamo–pituitary–interrenal axis which is similar to human HPA axis. Several studies have reported that stress affects the learning and memory in humans and rodents.
Latha Ramalingam, Vijay Madhaiyan
doaj   +1 more source

Phonological short term-memory, working memory and foreign language performance in intensive language learning. [PDF]

open access: yes, 2008
In our research we addressed the question what the relationship is between phonological short-term and working memory capacity and performance in an end-of-year reading, writing, listening, speaking and use of English test.
Sáfár, Anna   +3 more
core   +1 more source

Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition

open access: yes, 2021
Data-intelligent algorithms tailored for short-term energy forecasting can generate meaningful information on the future variability of solar energy developments.
Deo, Ravinesh C.   +4 more
core   +1 more source

Parallelizable Stack Long Short-Term Memory [PDF]

open access: yesProceedings of the Third Workshop on Structured Prediction for, 2019
Stack Long Short-Term Memory (StackLSTM) is useful for various applications such as parsing and string-to-tree neural machine translation, but it is also known to be notoriously difficult to parallelize for GPU training due to the fact that the computations are dependent on discrete operations.
Shuoyang Ding, Philipp Koehn
openaire   +2 more sources

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