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Entropy, 2023 In this paper, we consider classes of conventional decision tables closed relative to the removal of attributes (columns) and changing decisions assigned to rows.
Azimkhon Ostonov, Mikhail Moshkov
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EntropyIn this paper, we consider classes of decision tables with many-valued decisions closed under operations of the removal of columns, the changing of decisions, the permutation of columns, and the duplication of columns.
Azimkhon Ostonov, Mikhail Moshkov
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IEEE AccessThis paper investigates classes of decision tables (DTs) with 0-1-decisions that are closed under the removal of attributes (columns) and changes to the assigned decisions to rows.
Azimkhon Ostonov, Mikhail Moshkov
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Blockchain-Backed Revocation and Yang–Baxter Consistency Screening for Zero-Trust IoT Admission Control [PDF]
SensorsIoT deployments handle credential hygiene reactively: cloned, replayed, or stale credentials are typically discovered only after misuse, and revocation state is often propagated through centralized lists whose integrity cannot be independently verified ...
Yair E. Rivera-Julio +2 more
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Comparing deterministic and statistical approaches for predicting “short can” defects in aluminium beverage can production [PDF]
Computer Methods in Materials Science, 2023 In the production of beverage cans, “short can” defects in the form of material discontinuities can occur during the deep drawing of cylindrical thin-walled aluminium products.
Wojciech Baran* +3 more
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An Explainable Bayesian Decision Tree Algorithm
Frontiers in Applied Mathematics and Statistics, 2021 Bayesian Decision Trees provide a probabilistic framework that reduces the instability of Decision Trees while maintaining their explainability. While Markov Chain Monte Carlo methods are typically used to construct Bayesian Decision Trees, here we ...
Giuseppe Nuti +2 more
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Synthesis of Deterministic Top-down Tree Transducers from Automatic Tree Relations [PDF]
Electronic Proceedings in Theoretical Computer Science, 2014 We consider the synthesis of deterministic tree transducers from automaton definable specifications, given as binary relations, over finite trees.
Christof Löding, Sarah Winter
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Exploring the PV Power Forecasting at Building Façades Using Gradient Boosting Methods
Energies, 2023 Solar power forecasting is of high interest in managing any power system based on solar energy. In the case of photovoltaic (PV) systems, and building integrated PV (BIPV) in particular, it may help to better operate the power grid and to manage the ...
Jesús Polo +5 more
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BMC Medical Informatics and Decision Making, 2023 Background The progressive ageing in developed countries entails an increase in multimorbidity. Population-wide predictive models for adverse health outcomes are crucial to address these growing healthcare needs.
Alexander Olza +2 more
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Low-visibility forecasts for different flight planning horizons using tree-based boosting models [PDF]
Advances in Statistical Climatology, Meteorology and Oceanography, 2019 Low-visibility conditions enforce special procedures that reduce the operational flight capacity at airports. Accurate and probabilistic forecasts of these capacity-reducing low-visibility procedure (lvp) states help the air traffic management in ...
S. J. Dietz +3 more
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