Knowledge embedded
نویسندگان
چکیده
منابع مشابه
Clustering in Knowledge Embedded Space.dvi
Cluster analysis is a fundamental technique in pattern recognition. It is difficult to cluster data on complex data sets. This paper presents a new algorithm for clustering. There are three key ideas in the algorithm: using mutual neighborhood graphs to discover knowledge and cluster data; using eigenvalues of local covariance matrixes to express knowledge and form a knowledge embedded space; a...
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Model-based design is a promising technique to improve the quality of software and the efficiency of the software development process. We are investigating how to efficiently model embedded software and its environment to verify the requirements for the system controlled by the software. The software environment consists of mechanical, electrical and other parts; modelling it involves learning ...
متن کاملThe Utility of Embedded Knowledge-Oriented Actions
We extend the decision-theoretic principle of maximization of expected utility, previously used to compute the utility of purely communicative acts, to include all actions that are aimed at changing the state of knowledge of the other agents involved. These actions are called knowledge-oriented actions (KOA's), and, in general, may contain nonverbal as well as verbal components. To compute the ...
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Knowledge-based application development for embedded systems requires an approach diierent from that used in other environments. This is due to the nature of embedded systems which amongst other characteristics, have strong reliability requirements and aim to optimize the use of underlying hardware resources. Any approach that satisses these constraints must be supported by the development tool...
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ژورنال
عنوان ژورنال: Synthese
سال: 2019
ISSN: 0039-7857,1573-0964
DOI: 10.1007/s11229-019-02326-2