نتایج جستجو برای: classification code
تعداد نتایج: 649077 فیلتر نتایج به سال:
Classification: 68-02 Research Exposition, 68N30 Mathematical aspects of software engineering (specification, verification, metrics, requirements, etc.) [New MSC2000 code] 68U35 Information systems (hypertext navigation, interfaces, decision support, etc.) [New MSC2000 code] D.2 Software Engineering, D.2.2 Tools and Techniques, D.2.7 Distribution and Maintenance. D.3.1 [Programming Languages]: ...
We construct quasigroup-based hybrid of a code and a cipher. 2000 Mathematics Subject Classification: 94A60, 20N05, 20N15.
Towards the vision of automatically translating code that implements an algorithm from one programming language into another, this paper proposes an approach for automated program classifications using bilateral tree-based convolutional neural networks (BiTBCNNs). It is layered on top of two tree-based convolutional neural networks (TBCNNs), each of which recognizes the algorithm of code writte...
Properties of perfect transitive binary codes of length 15 and extended perfect transitive binary codes of length 16 Abstract. Some properties of perfect transitive binary codes of length 15 and extended perfect transitive binary codes of length 16 are presented for reference purposes. The attached files contain some tab-delimited properties of perfect binary codes of length 15 and extended per...
scikit-multilearn is a Python library for performing multi-label classification. The library is compatible with the scikit/scipy ecosystem and uses sparse matrices for all internal operations. It provides native Python implementations of popular multi-label classification methods alongside novel framework for label space partitioning and division. It includes graph-based community detection met...
A fault-tolerant distributed classification system employing the fault-tolerant fusion rule approach was proposed in [1]. Code matrix design is essential for the design of such systems. Two efficient code matrix design algorithms are proposed in this paper. The relative merits of both algorithms are also studied. Performance evaluation of the DCFECC (distributed classification fusion using erro...
But all this Work already going on is found very Typical, A lot of Time Consuming and Quite Tiring, as the coding Process it Involves is quite Large and Complex. So we tried to mark the First Initial step towards the Automating of the Coding System and more to that using of the Coding through an Interactive GUI Based System which would evolve more inclination towards the work with less amount o...
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