Results 111 to 120 of about 883,011 (303)

An Application of Computerized Decision Tree Models in Management-Union Bargaining [PDF]

, 1985
Frederick W. Winter
openalex   +1 more source

Toward the 3rd Generation of Smart Farming: Materials, Devices, and Systems for E‐Plant Technologies

Advanced Functional Materials, EarlyView.
This review explores the latest developments in e‐plant technologies, which are revolutionizing smart farming by enabling real‐time monitoring of plant and environmental conditions. It covers the design, applications, and systems of e‐plant devices, detailing how they integrate data analytics to optimize agricultural practices, enhance crop yields, and
Daegun Kim, Jonghyun Won, Hyeongmin Park, Jun‐Gyu Choi, Sungjun Park, Giwon Lee   +5 more
wiley   +1 more source

Minimizing Size of Decision Trees for Multi-label Decision Tables [PDF]

Annals of computer science and information systems, 2014
Mohammad Azad, Mikhail Moshkov
doaj   +1 more source

Probabilistic, nondeterministic, and alternating decision trees (Preliminary Version) [PDF]

, 1982
Udi Manber, Martin Tompa
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Unsupervised Decision Trees for Axis Unimodal Clustering

Information
The use of decision trees for obtaining and representing clustering solutions is advantageous, due to their interpretability property. We propose a method called Decision Trees for Axis Unimodal Clustering (DTAUC), which constructs unsupervised binary ...
Paraskevi Chasani, Aristidis Likas
doaj   +1 more source

MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees

Proceedings of the AAAI Conference on Artificial Intelligence
Decision trees remain one of the most popular machine learning models today, largely due to their out-of-the-box performance and interpretability. In this work, we present a Bayesian approach to decision tree induction via maximum a posteriori inference of a posterior distribution over trees.
Sullivan, Colin, Tiwari, Mo, Thrun, Sebastian   +2 more
openaire   +2 more sources

Engineering a Human‐Sized Common Bile Duct Prototype with Regenerative Potential: In Vitro Evaluation of Mechanics, Function, Degradation, and Immune Modulation

Advanced Healthcare Materials, EarlyView.
This study presents a multiphasic bile duct construct composed of biocompatible materials and cells, featuring an inner layer that supports biliary epithelium growth, a middle layer providing mechanical strength, and an outer cell‐permissive layer designed to support future in vivo integration.
Mattia Pasqua, Marianna Barbuto, Matteo Calligaris, Roberto Di Gesù, Duilio Pagano, Rosalia Busà, Salvatore Gruttadauria, Simone Dario Scilabra, Antonio D'Amore, Maria Giovanna Francipane   +9 more
wiley   +1 more source

An Experimental Comparison of Self-Adaptive Differential Evolution Algorithms to Induce Oblique Decision Trees

Mathematical and Computational Applications
This study addresses the challenge of generating accurate and compact oblique decision trees using self-adaptive differential evolution algorithms. Although traditional decision tree induction methods create explainable models, they often fail to achieve
Rafael Rivera-López, Efrén Mezura-Montes, Juana Canul-Reich, Marco-Antonio Cruz-Chávez   +3 more
doaj   +1 more source

Human Skin Models in Biophotonics: Materials, Methods, and Applications

Advanced Healthcare Materials, EarlyView.
This review discusses how the optical properties of human skin can be replicated in human skin models. It describes the principles, materials, and techniques used to develop artificial skin for biophotonics research. Finally, the article highlights recent advances and shows how these models improve the study of light‐skin interactions without the need ...
Dardan Bajrami, Fabrizio Spano, Kongchang Wei, Mathias Bonmarin, René M. Rossi   +4 more
wiley   +1 more source