Results 61 to 70 of about 1,169,808 (377)
Complexity, 2020 Software defects prediction at the initial period of the software development life cycle remains a critical and important assignment. Defect prediction and correctness leads to the assurance of the quality of software systems and has remained integral to
Rashid Naseem +6 more
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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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Machine Learning in Injection Molding: An Industry 4.0 Method of Quality Prediction
Sensors, 2022 One of the essential requirements of injection molding is to ensure the stable quality of the parts produced. However, numerous processing conditions, which are often interrelated in quite a complex way, make this challenging.
Richárd Dominik Párizs +3 more
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Learning decision trees from random examples
Information and Computation, 1989 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
A. Ehrenfeucht +2 more
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Integrating Decision Tree Learning into Inductive Databases [PDF]
, 2007 In inductive databases, there is no conceptual difference between data and the models describing the data: both can be stored and queried using some query language. The approach that adheres most strictly to this philosophy is probably the one proposed by Calders et al.
Fromont, Elisa +2 more
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Efficient algorithms for decision tree cross-validation
, 2001 Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward implementation of the technique is its computational overhead.
Blockeel, Hendrik, Struyf, Jan
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Applying Machine Learning Techniques to the Audit of Antimicrobial Prophylaxis
Applied Sciences, 2022 High rates of inappropriate use of surgical antimicrobial prophylaxis were reported in many countries. Auditing the prophylactic antimicrobial use in enormous medical records by manual review is labor-intensive and time-consuming.
Zhi-Yuan Shi +4 more
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Lower bounds on learning decision lists and trees
Information and Computation, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ming Li +3 more
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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 ...
Fred A. Hamprecht, Thomas M. Hehn
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A survey of cost-sensitive decision tree induction algorithms [PDF]
, 2013 The past decade has seen a significant interest on the problem of inducing decision trees that take account of costs of misclassification and costs of acquiring the features used for decision making.
Bradford J. P. +29 more
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