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Бінарна класифікація на основі поєднання теорії приблизних множин і дерев рішень
Предмет дослідження – підвищення точності та ефективності алгоритмів класифікації на основі дерев рішень за допомогою інтеграції принципів теорії приблизних множин (Rough Set), математичного підходу до апроксимації множин. Мета дослідження – розроблення
Dmytro Chernyshov, Dmytro Sytnikov
doaj +3 more sources
On Laws of Thought—A Quantum-like Machine Learning Approach
Incorporating insights from quantum theory, we propose a machine learning-based decision-making model, including a logic tree and a value tree; a genetic programming algorithm is applied to optimize both the logic tree and value tree.
Lizhi Xin, Kevin Xin, Houwen Xin
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Extending low energy effective field theory with a complete set of dimension-7 operators [PDF]
We present a complete and independent set of dimension-7 operators in the low energy effective field theory (LEFT) where the dynamical degrees of freedom are the standard model five quarks and all of the neutral and charged leptons. All operators are non-
Y. Liao, Xiao-Dong Ma, Quan Wang
semanticscholar +1 more source
Construction of a local location program on the basis of “decision tree” [PDF]
The article presents the problems of building a damage location program in a technical facility based on the theory of the “decision tree”. The basis in such a decision-making process is the functional and diagnostic analysis of the tested technical ...
Przemysław Duer+2 more
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A characterization of trees with equal 2-domination and 2-independence numbers [PDF]
A set $S$ of vertices in a graph $G$ is a $2$-dominating set if every vertex of $G$ not in $S$ is adjacent to at least two vertices in $S$, and $S$ is a $2$-independent set if every vertex in $S$ is adjacent to at most one vertex of $S$.
Christoph Brause+2 more
doaj +1 more source
Qualitative motivation with sets and relations
In self-determination theory (SDT), multiple conceptual regulations of motivation are posited. These forms of motivation are especially qualitatively viewed by SDT researchers, and there are situations in which combinations of these regulations occur. In
Ali Ünlü
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Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
Hardware Reliability Analysis of a Coal Mine Gas Monitoring System Based on Fuzzy-FTA
The hardware reliability of a gas monitoring system was investigated using the fuzzy fault tree analysis method. A fault tree was developed considering the hardware failure of the gas monitoring system as a top event.
Jingtian Xu, Man Yang, Shugang Li
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On the VC-dimension, covering and separating properties of the cycle and spanning tree hypergraphs of graphs [PDF]
In this paper, we delve into studying some relations between the structure of the cycles and spanning trees of a graph through the lens of its cycle and spanning tree hypergraphs which are hypergraphs with the edge set of the graph as their vertices ...
Alireza Mofidi
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Initially, electrofacies were introduced to define a set of recorded well log responses in order to characterize and distinguish a bed from the other rock units, as an advancement to the conventional application of well logs.
T. Hossain+3 more
semanticscholar +1 more source