Results 71 to 80 of about 883,011 (303)
What are decision trees? [PDF]
Nature Biotechnology, 2008 Decision trees have been applied to problems such as assigning protein function and predicting splice sites. How do these classifiers work, what types of problems can they solve and what are their advantages over alternatives?
Carl Kingsford, Steven L. Salzberg
openaire +3 more sources
Advanced Engineering Materials, EarlyView.In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
wiley +1 more source
A New Algorithm for Optimization of Fuzzy Decision Tree in Data Mining [PDF]
Journal of Optimization in Industrial Engineering, 2011 Decision-tree algorithms provide one of the most popular methodologies for symbolic knowledge acquisition. The resulting knowledge, a symbolic decision tree along with a simple inference mechanism, has been praised for comprehensibility.
Abolfazl Kazemi, Elahe Mehrzadegan
doaj
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
An anonymization technique using intersected decision trees
Journal of King Saud University: Computer and Information Sciences, 2015 Data mining plays an important role in analyzing the massive amount of data collected in today’s world. However, due to the public’s rising awareness of privacy and lack of trust in organizations, suitable Privacy Preserving Data Mining (PPDM) techniques
Sam Fletcher, Md Zahidul Islam
doaj +1 more source
Behavior Trees for Smart Robots Practical Guidelines for Robot Software Development
Journal of Robotics, 2022 Behavior Trees are a promising approach to model the autonomous behaviour of robots in dynamic environments. Behavior Trees represent action selection decisions as a tree of decision nodes.
Eric Dortmans, Teade Punter
doaj +1 more source
, 2019 One obstacle that so far prevents the introduction of machine learning models primarily in critical areas is the lack of explainability. In this work, a practicable approach of gaining explainability of deep artificial neural networks (NN) using an ...
Huber, Marco F. +2 more
core +1 more source
Advanced Engineering Materials, EarlyView.The utilization of direct energy deposition (DED)‐arc additive manufacturing processes in industrial applications is increasing, and these processes have the potential for multi‐material applications. This work provides a overview of the state of research in DED‐arc made functional graded structures, to establish a link to potential industrial ...
Kai Treutler, Volker Wesling
wiley +1 more source
A Novel Hyperparameter-Free Approach to Decision Tree Construction That Avoids Overfitting by Design
IEEE Access, 2019 Decision trees are an extremely popular machine learning technique. Unfortunately, overfitting in decision trees still remains an open issue that sometimes prevents achieving good performance.
Rafael Garcia Leiva +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Bimetallic structures of Inconel 718 and CuCrZr are fabricated using the laser powder directed energy deposition method. The study reveals a strong dependence of interface characteristics such as width and interfusion on processing and heat treatment strategies.
Hamidreza Javidrad, Bahattin Koc
wiley +1 more source