Results 21 to 30 of about 3,823,341 (178)
This paper examines types of decision tables with many-valued decisions that are closed under the attribute (columns) removal and changes in the sets of decisions assigned to rows.
Azimkhon Ostonov, Mikhail Moshkov
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Deterministic and Strongly Nondeterministic Decision Trees for Decision Tables from Closed Classes
CoRR, 2023 In this paper, we consider classes of decision tables with 0-1-decisions closed relative to removal of attributes (columns) and changing decisions assigned to rows. For tables from an arbitrary closed class, we study the dependence of the minimum complexity of deterministic decision trees on various parameters of the tables: the minimum complexity of a
Azimkhon Ostonov, Mikhail Moshkov
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End-to-End Learning of Deterministic Decision Trees [PDF]
, 2019 Conventional decision trees have a number of favorable properties, including interpretability, a small computational footprint and the ability to learn from little training data. However, they lack a key quality that has helped fuel the deep learning revolution: that of being end-to-end trainable, and to learn from scratch those features that best ...
Thomas Hehn 0001, Fred A. Hamprecht
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Inducing decision trees with an ant colony optimization algorithm [PDF]
, 2012 Decision trees have been widely used in data mining and machine learning as a comprehensible knowledge representation. While ant colony optimization (ACO) algorithms have been successfully applied to extract classification rules, decision tree induction ...
Otero, Fernando E.B. +2 more
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Scientific Opinion on the development of a risk ranking toolbox for the EFSA BIOHAZ Panel [PDF]
EFSA Journal, 2015 Eight tools relevant to risk ranking of biological hazards in food were identified and assessed using two case studies. Differences in their performance were observed, related to the risk metrics, data requirements, ranking approach, model type, model ...
EFSA Panel on Biological Hazards (BIOHAZ)
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Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data [PDF]
Atmospheric Measurement Techniques, 2017 The detection of convective initiation (CI) is very important because convective clouds bring heavy rainfall and thunderstorms that typically cause severe socio-economic damage.
S. Lee +4 more
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, 2021 This is the first release of Interactive Decision Trees package. It contains Python modules that enable the user to interact with the Decision Tree by creating new composite variables, grouping the input variables and color code the groups, selecting ...
Pianosi, Francesca +2 more
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Studies in Logic, Grammar and Rhetoric, 2013 The figures visualizing single and combined classifiers coming from decision trees group and Bayesian parametric and nonparametric discriminant functions show the importance of diversity of bagging or boosting combined models and confirm some theoretical
Ćwiklińska-Jurkowska Małgorzata M.
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, 2015 Model tree induction is a popular method for tackling regression problems requiring interpretable models. Model trees are decision trees with multiple linear regression models at the leaf nodes.
Kramer, Stefan +5 more
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Machine-Learning Based Determination of Gait Events from Foot-Mounted Inertial Units
Sensors, 2021 A promising but still scarcely explored strategy for the estimation of gait parameters based on inertial sensors involves the adoption of machine learning techniques.
Matteo Zago +6 more
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