Zobrazeno 1 - 10
of 505
pro vyhledávání: '"Sequential access memory"'
Publikováno v:
International Journal of Disability, Development and Education. :1-13
Increasing phonological awareness of children with special needs is of vital importance, as it helps them to face different problems they face. Therefore, this study assessed the efficacy of implem...
Publikováno v:
BICA
Procedia Computer Science
Procedia Computer Science
The sample-inefficiency problem in Artificial Intelligence refers to the inability of current Deep Reinforcement Learning models to optimize action policies within a small number of episodes. Recent studies have tried to overcome this limitation by a
Publikováno v:
3L The Southeast Asian Journal of English Language Studies. 26:157-174
The ability to spell properly is usually regarded as a good indicator of one’s level of education (Fagerberg, 2006). In this study spelling difficulties are classified as phonological, morphological, and orthographical difficulties in order to exam
Entwicklung auditiver Verarbeitungs- und Wahrnehmungsleistungen mit und ohne AVWS im Grundschulalter
Publikováno v:
Laryngo-Rhino-Otologie. 100:627-633
Zusammenfassung Hintergrund Ob sich die an unauffälligen Kindern beschriebenen Reifungsprozesse des zentralen Hörsystems auch an Kindern mit auditiven Verarbeitungs- und Wahrnehmungsstörungen (AVWS) im Grundschulalter nachweisen lassen, sollte an
Publikováno v:
Future Generation Computer Systems. 108:560-573
With the increasing complexity of graph structures, the current real-world large-scale graphs are being represented by a considerable amount of vertex and edge data. Furthermore, the analysis of a large number of computing nodes has become a very com
Publikováno v:
Journal of Cognitive Psychology. 32:382-390
Order is critical for many daily activities. Developmental research has shown that memory for order in action is the least prioritised in a processing hierarchy, and is sensitive to deviant input. ...
Publikováno v:
ACM Transactions on Parallel Computing. 7:1-24
The past decade has seen the development of many shared-memory graph processing frameworks intended to reduce the effort of developing high-performance parallel applications. However, many of these frameworks, based on Vertex-centric or Edge-centric
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 31:331-344
In this paper, we introduce a new concept of associative memories in which synaptic connections of the self-organizing neural network learn time delays between input sequence elements. Synaptic connections represent both the synaptic weights and expe
Publikováno v:
2021 4th International Conference on Pattern Recognition and Artificial Intelligence (PRAI).
Speech recognition technology, known as Automatic Speech Recognition (ASR), is an interdisciplinary subject closely related to people's life and learning. Deep feedforward sequential memory networks (DFSMN) is an acoustic model framework proposed by
Publikováno v:
ICPP
In this work we present an optimized version of the Adaptive Radix Tree (ART) index structure for GPUs. We analyze an existing GPU implementation of ART (GRT), identify bottlenecks and present an optimized data structure and layout to improve the loo