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The present paper is aimed at establishing the framework of this unification tentative, highlighting the contribution of each branch.
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A weaker framework of ontological unification is categorial unity, wherein abstract categories such as causality, information, etc, are attached to the interpretation of the specific variables and properties in models of phenomena (see Cat 2001 and 2006).
To mitigate this, the present paper aims to develop a pattern classification model in the framework of unification of GNNs and tries to avoid the searching of optimum number of rules and the best combination of rules.
Of course, the scope of this unification during the Qin Dynasty was limited to the mid- and lower-Yangtze and Yellow River agricultural regions of the Central Plains, moreover, the structure of this unification occurred over a long period of time.
This framework looks for unification of agent and WS service models, is grounded in a semantic SOA of an agent platform and is supported by the Component Agent Platform Over.NET Framework agent platform tools.
In the 17th century, mechanical philosophy and Newton's systematization from basic concepts and first laws of mechanics became the most promising framework for the unification of natural philosophy.
Over time, this unification of consciousness would lead to an intelligence explosion – the "Omega Point" – enabling humanity to "break through the material framework of Time and Space" and merge seamlessly with the divine.
To further this unification of relationships, the defined line between humans and other robots must become somewhat indistinguishable.
Otherwise, this unification of all your phones and answering machines truly makes life less complicated.
A framework for the unification of statistical and structural information for pattern retrieval based on local feature sets is pre-sented.
In the paper entitled "Face retrieval based on robust local features and statistical-structural learning approach," I. Defee and D. Zhong propose a framework for the unification of statistical and structural information for pattern retrieval based on local feature sets.
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