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C-Net: A Method for Generating Non-deterministic and Dynamic Multivariate Decision Trees
Knowledge and Information Systems, 2001 Despite the fact that artificial neural networks (ANNs) are universal function approximators, their black box nature (that is, their lack of direct interpretability or expressive power) limits their utility. In contrast, univariate decision trees (UDTs) have expressive power, although usually they are not as accurate as ANNs. We propose an improvement,
Hussein A. Abbass +2 more
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Adaptive Non-Deterministic Decision Trees: General Formulation and Case Study
, 2006 This paper introduces the adaptive non-deterministic decision tree, a formal device derived from adaptive device theory. ANDD-tree is a new framework for the development of supervised learning techniques. The general formulation of this framework, a case study and some experimental results are also presented.
Hemerson Pistori +2 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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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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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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