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Decision tree model

About: Decision tree model is a research topic. Over the lifetime, 2256 publications have been published within this topic receiving 38142 citations.


Papers
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Journal ArticleDOI
TL;DR: The class of all information systems (finite and infinite) is described for which this algorithm has polynomial time complexity depending on the number of columns (attributes) in decision tables.
Abstract: An algorithm is considered which for a given decision table constructs a decision tree with minimal depth. The class of all information systems (finite and infinite) is described for which this algorithm has polynomial time complexity depending on the number of columns (attributes) in decision tables.

38 citations

Journal ArticleDOI
TL;DR: In this paper, a disaggregative approach was developed for constraining an individual-tree model such that it provides reasonable tree-and stand-level predictions of survival and growth.

38 citations

Proceedings ArticleDOI
19 Jun 2016
TL;DR: An explicit example of a search problem with external information complexity ≤ O(k), withrespect to any input distribution, and distributional communication complexity ≥ 2k, with respect to some input distribution is obtained.
Abstract: We show an exponential gap between communication complexity and external information complexity, by analyzing a communication task suggested as a candidate by Braverman. Previously, only a separation of communication complexity and internal information complexity was known. More precisely, we obtain an explicit example of a search problem with external information complexity ≤ O(k), with respect to any input distribution, and distributional communication complexity ≥ 2k, with respect to some input distribution. In particular, this shows that a communication protocol cannot always be compressed to its external information. By a result of Braverman, our gap is the largest possible. Moreover, since the upper bound of O(k) on the external information complexity of the problem is obtained with respect to any input distribution, our result implies an exponential gap between communication complexity and information complexity (both internal and external) in the non-distributional setting of Braverman. In this setting, no gap was previously known, even for internal information complexity.

38 citations

Book
01 May 2001
TL;DR: A more recent snapshot of resource-bounded measure is given, focusing not so much on what has been achieved to date as on what the authors hope will be achieved in the near future.

38 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202310
202224
2021101
2020163
2019158
2018121