Results 261 to 270 of about 258,206 (308)

Counting Rankings of Tree-Child Networks. [PDF]

Bull Math Biol
Zhang Q, Steel M.
europepmc   +1 more source

Hospital efficiency assessment: a systematic review of DEA and hybrid DEA-machine learning approaches. [PDF]

Front Med Technol
Alkan N, Koluk UK, Alkan BB, Sinan A.
europepmc   +1 more source

An Explainable XGBoost-Based Framework for IoT Attack Detection with Unseen Attack Family Evaluation. [PDF]

Sensors (Basel)
Hung RJ.
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Development of a Gait Independence Prediction Model in Patients With Stroke in a Convalescent Rehabilitation Ward: A Comparison of Decision Tree and Random Forest Models. [PDF]

Cureus
Nakao S, Motokawa T, Nakamori T.
europepmc   +1 more source

Detecting introgression from phylogenetic invariant site patterns using machine learning. [PDF]

Appl Plant Sci
McKenzie PF, Eaton DAR.
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Experimental-data-driven thermal conductivity prediction and inverse composition design for alloys. [PDF]

RSC Adv
Phan AD, Hanh VB, Que NT, Duyen NTT, Nga DT, Mei B.   +5 more
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On Random Binary Trees

Mathematics of Operations Research, 1984
A widely used class of binary trees is studied in order to provide information useful in evaluating algorithms based on this storage structure. A closed form counting formula for the number of binary trees with n nodes and height k is developed and restated as a recursion more useful computationally. A generating function for the number of nodes given
Brown, Gerald G., Shubert, Bruno O.
openaire   +2 more sources

Randomized search trees

30th Annual Symposium on Foundations of Computer Science, 1989
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Seidel, Raimund, Aragon, Cecilia R.
openaire   +1 more source