Results 31 to 40 of about 441,843 (315)

Questioning short-term memory and its measurement: why digit span measures long-term associative learning [PDF]

open access: yes, 2015
Traditional accounts of verbal short-term memory explain differences in performance for different types of verbal material by reference to inherent characteristics of the verbal items making up memory sequences.
Macken, B   +3 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

Evolving Long Short-Term Memory Networks [PDF]

open access: yes, 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   +2 more
openaire   +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 ...
Marius Usher   +7 more
core   +1 more source

Short-term memory as a working memory control process [PDF]

open access: yes, 2013
Aben et al. (2012) take issue with the unthoughtful use of the terms “working memory” (WM) and “short-term memory” (STM) in the cognitive and neuroscientific literature.
Eddy J Davelaar   +2 more
core   +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

Linking working memory and long-term memory: A computational model of the learning of new words [PDF]

open access: yes, 2007
The nonword repetition (NWR) test has been shown to be a good predictor of children’s vocabulary size. NWR performance has been explained using phonological working memory, which is seen as a critical component in the learning of new words.
Pine, JM   +6 more
core   +1 more source

Relational and conjunctive binding functions dissociate in short-term memory [PDF]

open access: yes, 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
core   +1 more source

Computer simulations of developmental change: The contributions of working memory capacity and long-term knowledge [PDF]

open access: yes, 2008
Increasing working memory (WM) capacity is often cited as a major influence on children’s development and yet WM capacity is difficult to examine independently of long-term knowledge.
Pine, JM   +5 more
core   +1 more source

Forecasting Nonadiabatic Dynamics using Hybrid Convolutional Neural Network/Long Short-Term Memory Network [PDF]

open access: yes, 2021
Modeling nonadiabatic dynamics in complex molecular or condensed-phase systems has been challenging especially for the long-time dynamics. In this work, we propose a time series machine learning scheme based on the hybrid convolutional neural network ...
Jiebo, Li   +3 more
core   +1 more source

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