Results 41 to 50 of about 131,642 (151)
Machine Learning Methods with Decision Forests for Parkinson’s Detection
Applied Sciences, 2021 Biomedical engineers prefer decision forests over traditional decision trees to design state-of-the-art Parkinson’s Detection Systems (PDS) on massive acoustic signal data.
Moumita Pramanik +4 more
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MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees
Proceedings of the AAAI Conference on Artificial IntelligenceDecision trees remain one of the most popular machine learning models today, largely due to their out-of-the-box performance and interpretability. In this work, we present a Bayesian approach to decision tree induction via maximum a posteriori inference of a posterior distribution over trees.
Sullivan, Colin +2 more
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European Psychiatry, 2022 Introduction There is limited knowledge about the potential role of machine learning (ML) in quality improvement of psychiatric care. Objectives Our case study was to determine whether ML decision trees used on patient databases are suitable for ...
R. Wernigg, M. Wernigg
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An anonymization technique using intersected decision trees
Journal of King Saud University: Computer and Information Sciences, 2015 Data mining plays an important role in analyzing the massive amount of data collected in today’s world. However, due to the public’s rising awareness of privacy and lack of trust in organizations, suitable Privacy Preserving Data Mining (PPDM) techniques
Sam Fletcher, Md Zahidul Islam
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Machine Learning: Science and Technology, 2023 Deep learning systems, especially in critical fields like medicine, suffer from a significant drawback, their black box nature, which lacks mechanisms for explaining or interpreting their decisions.
Jose Sigut +4 more
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Saúde em DebateObjetivou-se desenvolver um modelo de apoio à tomada de decisão para identificar indivíduos não aderentes ao tratamento anti-hipertensivo. Propõe-se a utilização de árvore de decisão sobre um banco de dados de adesão ao tratamento envolvendo 118 usuários
Amira Rose Costa Medeiros +3 more
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A New Algorithm for Optimization of Fuzzy Decision Tree in Data Mining [PDF]
Journal of Optimization in Industrial Engineering, 2011 Decision-tree algorithms provide one of the most popular methodologies for symbolic knowledge acquisition. The resulting knowledge, a symbolic decision tree along with a simple inference mechanism, has been praised for comprehensibility.
Abolfazl Kazemi, Elahe Mehrzadegan
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Building decision trees based on production knowledge as support in decision-making process
Production Engineering Archives, 2020 The article presents sources of production knowledge and thoroughly describes its identification which on the construction of decision trees, and on the construction of knowledge bases for production processes.
Matuszny Marcin
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Shopping intention prediction using decision trees
Millenium, 2017 Introduction: The price is considered to be neglected marketing mix element due to the complexity of price management and sensitivity of customers on price changes. It pulls the fastest customer reactions to that change.
Dario Šebalj +2 more
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A Novel Hyperparameter-Free Approach to Decision Tree Construction That Avoids Overfitting by Design
IEEE Access, 2019 Decision trees are an extremely popular machine learning technique. Unfortunately, overfitting in decision trees still remains an open issue that sometimes prevents achieving good performance.
Rafael Garcia Leiva +3 more
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