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Time and Space Complexity of Deterministic and Nondeterministic Decision Trees: Local Approach
Extensive research has been conducted on rough set theory, specifically focusing on the study of decision trees (DTs) and decision rule systems (DRSs).
Kerven Durdymyradov, Mikhail Moshkov
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Lifting to Parity Decision Trees Via Stifling
Information Technology Convergence and Services, 2022We show that the deterministic decision tree complexity of a (partial) function or relation $f$ lifts to the deterministic parity decision tree (PDT) size complexity of the composed function/relation $f \circ g$ as long as the gadget $g$ satisfies a ...
A. Chattopadhyay+3 more
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Deterministic and Nondeterministic Decision Trees for Rough Computing
Mikhail Moshkov
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Entrenching Decision Trees in a Robust Molecular Circuit Element
International Symposium on Circuits and Systems, 2022By mapping logic complexities onto molecular redox transitions, we embed decision trees in a nanoscale memristive element. Our circuit element is robust, and the switching events are deterministic.
T. Venkatesan+3 more
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One-way communication complexity and non-adaptive decision trees
Electron. Colloquium Comput. Complex., 2021We study the relationship between various one-way communication complexity measures of a composed function with the analogous decision tree complexity of the outer function.
Nikhil S. Mande, Swagato Sanyal
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Deterministic and Nondeterministic Decision Trees for Recognition of All Realizable Decision Rules
Kerven Durdymyradov, Mikhail Moshkov
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Decision Support Using Deterministic Equivalents of Probabilistic Game Trees
Michael L. Valenzuela+2 more
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Efficient Decision Trees for Tensor Regressions
arXiv.orgWe proposed the tensor-input tree (TT) method for scalar-on-tensor and tensor-on-tensor regression problems. We first address scalar-on-tensor problem by proposing scalar-output regression tree models whose input variable are tensors (i.e., multi-way ...
Hengrui Luo, Akira Horiguchi, Li Ma
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