Results 31 to 40 of about 85,077 (292)
Applied Medical Informatics, 2023 Stroke is an acute neurologic disorder of blood vessels in brain due to blockage of blood flow to the brain resulting in less oxygen. Stroke remains one of the leading causes of death worldwide.
Helmi Saifullah MANSUR +2 more
doaj
Istanbul Business Research, 2021 Innovation levels and capacities of countries are two very important factors for competitiveness as well as the current Industrial 4.0 Revolution. In this context, capacity and level are relative concepts, with a great need for a common measurement ...
Merve Doğruel, Seniye Ümit Fırat
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Learning Optimal Decision Trees with SAT [PDF]
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018 Explanations of machine learning (ML) predictions are of fundamental importance in different settings. Moreover, explanations should be succinct, to enable easy understanding by humans. Decision trees represent an often used approach for developing explainable ML models, motivated by the natural mapping between decision tree paths and rules.
Nina Narodytska +3 more
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Multiple Instance Learning with Trainable Soft Decision Tree Ensembles
Algorithms, 2023 A new random forest-based model for solving the Multiple Instance Learning problem under small tabular data, called the Soft Tree Ensemble Multiple Instance Learning, is proposed.
Andrei Konstantinov +2 more
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Interval Temporal Logic Decision Tree Learning [PDF]
, 2019 Decision trees are simple, yet powerful, classification models used to classify categorical and numerical data, and, despite their simplicity, they are commonly used in operations research and management, as well as in knowledge mining. From a logical point of view, a decision tree can be seen as a structured set of logical rules written in ...
Andrea Brunello +2 more
openaire +5 more sources
Advanced Materials Interfaces, EarlyView., 2023 This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi +4 more
wiley +1 more source
Malicious URLs Detection Using Decision Tree Classifiers and Majority Voting Technique
Cybernetics and Information Technologies, 2018 Researchers all over the world have provided significant and effective solutions to detect malicious URLs. Still due to the ever changing nature of cyberattacks, there are many open issues.
Patil Dharmaraj R., Patil J. B.
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Generating Buy/Sell Signals for an Equity Share Using Machine Learning [PDF]
Eurasian Journal of Business and Economics, 2018 This study proposes a novel model for predicting 5 days’ ahead share price direction of GARAN (Garanti Bankasi A.Ş.), an equity share that is the top traded stock in BIST100, Istanbul Stock Exchange -Turkey.
Bugra ERKARTA, Linet OZDAMAR
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On Decision Trees, Influences, and Learning Monotone Decision Trees
, 2004 In this note we prove that a monotone boolean function computable by a decision tree of size s has average sensitivity at most √ log2 s. As a consequence we show that monotone functions are learnable to constant accuracy under the uniform distribution in time polynomial in their decision tree size.
O'Donnell, Ryan, Servedio, Rocco Anthony
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Decision Tree Learning with Spatial Modal Logics [PDF]
Electronic Proceedings in Theoretical Computer Science, 2021 In Proceedings GandALF 2021, arXiv:2109.07798.
Giovanni Pagliarini, Guido Sciavicco
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