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Wyszukujesz frazę "memory training" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
The effectiveness of working memory training – points to consider for future research
Autorzy:
Szewczyk, Rafal
Powiązania:
https://bibliotekanauki.pl/articles/430631.pdf
Data publikacji:
2016-04-01
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
working memory training
effectiveness of WMT
working memory capacity
near- and far-transfer
Opis:
Working memory training (WMT) has recently become one of the most debated issues in the field of cognitive psychology. Since working memory (WM) is considered a strong correlate of IQ, numerous researchers have been trying to increase the latter by training the former. Proven effectiveness of working memory training could lead to its application in the therapy of many cognitive impairments. WMT could be also used as a tool of improving cognitive functioning of healthy subjects. However, almost every publication claiming to provide evidence for achieving one of above mentioned objectives has been criticised, mostly because of methodological shortcomings. The aim of my presentation is to extract potential sources of inconsistencies existing between the authors of meta-analysis and reviews of WMT research. For this reason I take a closer look at results and conclusions of several meta-analysis and reviews. As a result I point few indications that should be taken into consideration in future studies on WMT effectiveness.
Źródło:
Polish Psychological Bulletin; 2016, 47, 1; 43-50
0079-2993
Pojawia się w:
Polish Psychological Bulletin
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Difficult birth of the agent. Memory of the body, identity and social competence
Autorzy:
Żardecka, Magdalena
Powiązania:
https://bibliotekanauki.pl/articles/1933394.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Szczeciński. Wydawnictwo Naukowe Uniwersytetu Szczecińskiego
Tematy:
body memory
training
drill
time
subjectivity
pamięć ciała
ćwiczenie
musztra
podmiotowość
Opis:
Body memory is a relatively new philosophical notion, entangled in interiorization of the past – paradoxically this entanglement liberates the individual from the dictature of the present flow and enables her/his autonomy. The author intends to show that this apparent ensnarement, with all its difficult genesis, makes us responsible, active agents, influencing our environment. To achieve this objective, she chooses to describe the painful of ambiguous process of training and drill of the body, immersing us in social patterns, and thus in the living past. This path leads us – a paradox again – to the arduous and painstaking rediscovery of the issue of subject. There is still hope that we can recuperate this vanishing notion, reinterpreting the most essential classical themes of philosophy, such as time and transcendentality. But the subject matter remains opaque, and requires further reflection.
Źródło:
Analiza i Egzystencja; 2021, 56; 5-23
1734-9923
2300-7621
Pojawia się w:
Analiza i Egzystencja
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Learning strategies in the digital age – towards a new taxonomy for the language classroom
Autorzy:
Burzyńska, Kamila
Krajka, Jarosław
Powiązania:
https://bibliotekanauki.pl/articles/2011725.pdf
Data publikacji:
2015-12-31
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
learning strategies
strategy training
metacognitive strategies
memory strategies
social strategies
affective strategies
Opis:
The main objective of the presented study was to propose a new taxonomy of learning strategies for the digital age. The revised taxonomy of Oxford’s SILL (1990) was implemented in a nationwide questionnaire to display the picture of strategy use, investigate relationships between particular strategy types and elicit learners’ preferences on strategy instruction. The data was processed statistically with SPSS 20 package. Results confirm high reliability of SI-LLE, indicate relatively strong relationships between particular strategy groups, where higher education institution, year of studies and teaching experience have a statistically significant effect of similar strength on strategy awareness.
Źródło:
The New Educational Review; 2015, 41; 75-85
1732-6729
Pojawia się w:
The New Educational Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An optimized parallel implementation of non-iteratively trained recurrent neural networks
Autorzy:
El Zini, Julia
Rizk, Yara
Awad, Mariette
Powiązania:
https://bibliotekanauki.pl/articles/2031147.pdf
Data publikacji:
2021
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
GPU implementation
parallelization
Recurrent Neural Network
RNN
Long-short Term Memory
LSTM
Gated Recurrent Unit
GRU
Extreme Learning Machines
ELM
non-iterative training
Opis:
Recurrent neural networks (RNN) have been successfully applied to various sequential decision-making tasks, natural language processing applications, and time-series predictions. Such networks are usually trained through back-propagation through time (BPTT) which is prohibitively expensive, especially when the length of the time dependencies and the number of hidden neurons increase. To reduce the training time, extreme learning machines (ELMs) have been recently applied to RNN training, reaching a 99% speedup on some applications. Due to its non-iterative nature, ELM training, when parallelized, has the potential to reach higher speedups than BPTT. In this work, we present Opt-PR-ELM, an optimized parallel RNN training algorithm based on ELM that takes advantage of the GPU shared memory and of parallel QR factorization algorithms to efficiently reach optimal solutions. The theoretical analysis of the proposed algorithm is presented on six RNN architectures, including LSTM and GRU, and its performance is empirically tested on ten time-series prediction applications. Opt- PR-ELM is shown to reach up to 461 times speedup over its sequential counterpart and to require up to 20x less time to train than parallel BPTT. Such high speedups over new generation CPUs are extremely crucial in real-time applications and IoT environments.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 1; 33-50
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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