Results 81 to 90 of about 962,663 (328)
Precision‐Optimised Post‐Stroke Prognoses
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope +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
Bounds on Depth of Decision Trees Derived from Decision Rule Systems [PDF]
arXiv, 2023 Systems of decision rules and decision trees are widely used as a means for knowledge representation, as classifiers, and as algorithms. They are among the most interpretable models for classifying and representing knowledge. The study of relationships between these two models is an important task of computer science. It is easy to transform a decision
arxiv
Monotone Classification with Decision Trees [PDF]
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013 In machine learning, monotone classification is concerned with a classification function to learn in order to guarantee a kind of monotonicity of the class with respect to attribute values. In this paper, we focus on rank discrimination measures to be used in decision tree induction, i.e., functions able to measure the discrimination power of an ...
Christophe, Marsala, PETTURITI, DAVIDE
openaire +4 more sources
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
Bayesian Decision Trees via Tractable Priors and Probabilistic Context-Free Grammars [PDF]
arXiv, 2023 Decision Trees are some of the most popular machine learning models today due to their out-of-the-box performance and interpretability. Often, Decision Trees models are constructed greedily in a top-down fashion via heuristic search criteria, such as Gini impurity or entropy. However, trees constructed in this manner are sensitive to minor fluctuations
arxiv
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +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
An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service [PDF]
, 2017 In this paper, we present machine learning approaches for characterizing and forecasting the short-term demand for on-demand ride-hailing services. We propose the spatio-temporal estimation of the demand that is a function of variable effects related to ...
Cools, Mario +4 more
core
Assessing the Ecological Value: Monetizing Process Innovations in Tailored Forming
Advanced Engineering Materials, EarlyView.This article introduces a method for evaluating the sustainability of innovations, even with limited data. The method is illustrated through an analysis of the “Tailored Forming” technology, which explores the impact of sustainability on economic value added.
Jonas Schneider +4 more
wiley +1 more source