نتایج جستجو برای: organized multi

تعداد نتایج: 522353  

2014
Bekim Cilku Alfons Crespo Peter Puschner Javier Coronel Salvador Peiro

In mixed-criticality systems, applications of different criticality levels share the same computing platform. To avoid spatial and temporal interference of the applications, the computing platform must implement measures for spatial and temporal isolation. In this paper we show how the enhancement of a static memory arbiter by a second, dynamic arbitration layer facilitates the interference-fre...

Journal: :Anthropology News 1982

Journal: :Materials advances 2021

Multi-channel adjustable CPL in chiral liquid crystals was investigated, where a well-organized structure distributed double thin layers exhibits high |glum| for the input signal to encrypt information transmission.

2015
Márcio de Souza Dias Thiago Alexandre Salgueiro Pardo

Multi-document summarization is a very important area of Natural Language Processing (NLP) nowadays because of the huge amount of data in the web. People want more and more information and this information must be coherently organized and summarized. The main focus of this paper is to deal with the coherence of multi-document summaries. Therefore, a model that uses discursive information to aut...

2000
Yasutake Takahashi Minoru Asada

This paper proposes multi-layered reinforcement learning by which the control structure can be decomposed into smaller transportable chunks and therefore previously learned knowledge can be applied to related tasks in a newly encountered situation. The modules in the lower networks are organized as experts to move into different categories of sensor output regions and to learn lower level behav...

1999
Yasutake Takahashi Minoru Asada

This paper proposes multi-layered reinforcement learning by which the control structure can be decomposed into smaller transportable chunks and therefore previously learned knowledge can be applied to related tasks in a newly encountered situations. The modules in the lower networks are organized as experts to move into di erent categories of sensor output regions and to learn lower level behav...

In this paper, we present a multi-formalism modeling framework (abbreviated by MFMF) for modeling and simulation. The proposed framework is defined based on the concepts of meta-models and uses object-orientation to overcome the complexities and to enhance the extensibility. The framework can be used as a basis for modeling by various formalisms and to support model composition in a unified man...

Journal: :Political science today 2021

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