Results 31 to 40 of about 524,166 (313)
Application of Decision Tree-Based Classification Algorithm on Content Marketing
Journal of Mathematics, 2022 Traditional content marketing methods resort grossly to market requirements but barely obtain relatively accurate marketing prediction under loads of requirements.
Yi Liu, Shuo Yang
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Agnostically learning decision trees [PDF]
Proceedings of the fortieth annual ACM symposium on Theory of computing, 2008 We give a query algorithm for agnostically learning decision trees with respect to the uniform distribution on inputs. Given black-box access to an *arbitrary* binary function f on the n-dimensional hypercube, our algorithm finds a function that agrees with f on almost (within an epsilon fraction) as many inputs as the best size-t decision tree, in ...
Parikshit Gopalan +2 more
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The Evaluation of Online Education Course Performance Using Decision Tree Mining Algorithm
Complexity, 2021 With the continuous development of “Internet + Education”, online learning has become a hot topic of concern. Decision tree is an important technique for solving classification problems from a set of random and unordered data sets.
Yongxian Yang
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Interpretable land cover classification with modal decision trees
European Journal of Remote Sensing, 2023 Land cover classification (LCC) refers to the task of classifying each pixel in satellite/aerial imagery by predicting a label carrying information about its nature.
G. Pagliarini, G. Sciavicco
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Effective Decision Tree Learning [PDF]
International Journal of Computer Applications, 2013 Classification is a data analysis technique. The decision tree is one of the most popular classification algorithms in current use for data mining because it is more interpretable. Training data sets are not error free due to measurement errors in the data collection process. Traditional decision tree classifiers are constructed without considering any
B. Kumara Swamy Achari +2 more
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On Laws of Thought—A Quantum-like Machine Learning Approach
Entropy, 2023 Incorporating insights from quantum theory, we propose a machine learning-based decision-making model, including a logic tree and a value tree; a genetic programming algorithm is applied to optimize both the logic tree and value tree.
Lizhi Xin, Kevin Xin, Houwen Xin
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Construction of Graduate Behavior Dynamic Model Based on Dynamic Decision Tree Algorithm
Discrete Dynamics in Nature and Society, 2022 With the research of machine learning technology and big data intelligent processing technology in engineering application becoming more and more mature, people gradually combine machine learning technology and big data intelligent processing technology.
Fen Yang
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Educational Data Mining Using Cluster Analysis Methods and Decision Trees based on Log Mining
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 Educational Data Mining (EDM) often appears to be applied in big data processing in the education sector. One of the educational data that can be further processed with EDM is activity log data from an e-learning system used in teaching and learning ...
Safira Nuri Safitri +2 more
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Attribute Selection Based on Constraint Gain and Depth Optimal for a Decision Tree
Entropy, 2019 Uncertainty evaluation based on statistical probabilistic information entropy is a commonly used mechanism for a heuristic method construction of decision tree learning.
Huaining Sun, Xuegang Hu, Yuhong Zhang
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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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