Rule modeling of ADI cast iron structure for contradictory data [PDF]
Computer Methods in Materials Science, 2022 Ductile iron is a material that is very sensitive to the conditions of crystallization. Due to this fact, the data on the cast iron properties obtained in tests are significantly different and thus sets containing data from samples are contradictory, i.e.
Artur Soroczyński +2 more
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Overcoming the uncertainty in a research reactor LOCA in level-1 PSA; Fuzzy based fault-tree/event-tree analysis [PDF]
Journal of Optimization in Industrial Engineering, 2020 Probabilistic safety assessment (PSA) which plays a crucial role in risk evaluation is a quantitative approach intended to demonstrate how a nuclear reactor meets the safety margins as part of the licensing process.
Masoud Mohsendokht +1 more
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Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction
Entropy, 2021 This paper deals with a prediction problem of a new targeting variable corresponding to a new explanatory variable given a training dataset. To predict the targeting variable, we consider a model tree, which is used to represent a conditional ...
Nao Dobashi +3 more
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Revisiting Call-by-value B\"ohm trees in light of their Taylor expansion [PDF]
Logical Methods in Computer Science, 2020 The call-by-value lambda calculus can be endowed with permutation rules, arising from linear logic proof-nets, having the advantage of unblocking some redexes that otherwise get stuck during the reduction.
Emma Kerinec +2 more
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On Laws of Thought—A Quantum-like Machine Learning Approach
Entropy, 2023 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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Construction of a local location program on the basis of “decision tree” [PDF]
Biuletyn Wojskowej Akademii Technicznej, 2019 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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Бінарна класифікація на основі поєднання теорії приблизних множин і дерев рішень
Сучасний стан наукових досліджень та технологій в промисловості, 2023 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
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A characterization of trees with equal 2-domination and 2-independence numbers [PDF]
Discrete Mathematics & Theoretical Computer Science, 2017 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
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Multi-decision tree prediction model for coal seam floor water inrush based on cost-sensitive theory
Gong-kuang zidonghua, 2020 When predicting coal seam floor water inrush, the situation is generally divided into two states: safe state and water inrush state. The state data has non-equilibrium characteristics.
LI Yanmin, ZHOU Chenyang, LI Fenglian
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On the VC-dimension, covering and separating properties of the cycle and spanning tree hypergraphs of graphs [PDF]
Transactions on Combinatorics, 2022 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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