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Top-Down Induction of Decision Trees: Rigorous Guarantees and Inherent Limitations [PDF]
, 2019 Consider the following heuristic for building a decision tree for a function $f : \{0,1\}^n \to \{\pm 1\}$. Place the most influential variable $x_i$ of $f$ at the root, and recurse on the subfunctions $f_{x_i=0}$ and $f_{x_i=1}$ on the left and right ...
Blanc, Guy, Lange, Jane, Tan, Li-Yang
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Separating decision tree complexity from subcube partition complexity [PDF]
, 2015 The subcube partition model of computation is at least as powerful as decision trees but no separation between these models was known. We show that there exists a function whose deterministic subcube partition complexity is asymptotically smaller than ...
Kothari, Robin +2 more
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Comparison Of Dt& Gbdt Algorithms For Predictive Modeling Of Currency Exchange Rates [PDF]
, 2020 Recently, many uses of artificial intelligence have appeared in the commercial field. Artificial intelligence allows computers to analyze very large amounts of information and data, reach logical conclusions on many important topics, and make difficult ...
Alsaleem, M. Y. (Maan) +1 more
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, 2015 Model tree induction is a popular method for tackling regression problems requiring interpretable models. Model trees are decision trees with multiple linear regression models at the leaf nodes.
Frank, Eibe +2 more
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C4.5 Decision Tree Implementation in Sistem Informasi Zakat (Sizakat) to Automatically Determining the Amount of Zakat Received by Mustahik [PDF]
, 2014 In general, Zakat Information Systems is established to manage the zakat services, so that the data can be well documented. This study proposes the existence of a feature that will determine the amount of zakat received by Mustahik automatically using C4.
Ananda, D. B. (David) +1 more
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Multi-test Decision Tree and its Application to Microarray Data Classification [PDF]
, 2014 Objective: The desirable property of tools used to investigate biological data is easy to understand models and predictive decisions. Decision trees are particularly promising in this regard due to their comprehensible nature that resembles the ...
Armstrong +46 more
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Inducing safer oblique trees without costs [PDF]
, 2005 Decision tree induction has been widely studied and applied. In safety applications, such as determining whether a chemical process is safe or whether a person has a medical condition, the cost of misclassification in one of the classes is significantly ...
Althoff K. +27 more
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An application of decision trees method for fault diagnosis of induction motors [PDF]
, 2006 Decision tree is one of the most effective and widely used methods for building classification model. Researchers from various disciplines such as statistics, machine learning, pattern recognition, and data mining have considered the decision tree ...
Oh, Myung-Suck +2 more
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Learning from the machine: interpreting machine learning algorithms for point- and extended- source classification [PDF]
, 2017 We investigate star-galaxy classification for astronomical surveys in the context of four methods enabling the interpretation of black-box machine learning systems.
Bacon, David +2 more
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