Results 51 to 60 of about 352,001 (275)
How Neuromorphic Microstructures Control In Vitro Early‐Stage Neuronal Outgrowth
Advanced Science, EarlyView.Biomimetic approach to neuronal interaction with neuromorphic microstructures. ABSTRACT Neuromorphic biomaterials represent a novel class of materials designed to replicate the architecture and functionality of neuronal structures, offering new opportunities in tissue engineering and bioelectronics.
Claudia Latte Bovio +5 more
wiley +1 more source
On the depth of decision trees over infinite 1-homogeneous binary information systems
Array, 2021 In this paper, we study decision trees, which solve problems defined over a specific subclass of infinite information systems, namely: 1-homogeneous binary information systems. It is proved that the minimum depth of a decision tree (defined as a function
Mikhail Moshkov
doaj +1 more source
Generation of optimal binary split trees [PDF]
, 1985 A binary split tree is a search structure combining features of heaps and binary search trees. Building an optimal binary split tree was originally conjectured to be intractable due to difficulties in applying dynamic programming techniques to the ...
Hester, J. H., Hirschbery, D. S.
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A Rare Allele of ST5 From Wild Rice Enhances Salt Tolerance in Rice
Advanced Science, EarlyView.A novel salt‐tolerance gene ST5W, characterized by a unique 36‐bp promoter insertion, is found exclusively in a small subset of Oryza rufipogon and is absent in cultivated rice. Field trials confirm ST5W significantly enhances rice yield across diverse genetic backgrounds under saline conditions.
Meng Xing +26 more
wiley +1 more source
Some structures of the catalan numbers I [PDF]
ریاضی و جامعهThe Catalan numbers are ubiquitous in counting problems which is one of the primary reasons for its popularity. From various sources like books and Wikipedia we see that in combinatorial mathematics.
Daniel Yaqubi, Madjid Mirzavaziri
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Random Records and Cuttings in Split Trees: Extended Abstract [PDF]
Discrete Mathematics & Theoretical Computer Science, 2008 We study the number of records in random split trees on $n$ randomly labelled vertices. Equivalently the number of random cuttings required to eliminate an arbitrary random split tree can be studied.
Cecilia Holmgren
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On the Depth of Decision Trees with Hypotheses
Entropy, 2022 In this paper, based on the results of rough set theory, test theory, and exact learning, we investigate decision trees over infinite sets of binary attributes represented as infinite binary information systems.
Mikhail Moshkov
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Width and mode of the profile for some random trees of logarithmic height
, 2006 We propose a new, direct, correlation-free approach based on central moments of profiles to the asymptotics of width (size of the most abundant level) in some random trees of logarithmic height.
Devroye, Luc, Hwang, Hsien-Kuei
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Machine Learning for Green Solvents: Assessment, Selection and Substitution
Advanced Science, EarlyView.Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Journal of Statistical Software, 2017 msBP is an R package that implements a new method to perform Bayesian multiscale nonparametric inference introduced by Canale and Dunson (2016). The method, based on mixtures of multiscale beta dictionary densities, overcomes the drawbacks of Pólya trees
Antonio Canale
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