Results 91 to 100 of about 169,825 (305)

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

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

DECISION TREES – A PERSPECTIVE OF ELECTRONIC DECISIONAL SUPPORT [PDF]

Without substitute decision-maker, decision support system, through their components,can facilitate the work of decision-maker by providing useful clues to solving problems andidentifying opportunities.
Janetta Sirbu, Dan Racovitan, Nicolae Marginean   +2 more
core  

Building decision trees based on production knowledge as support in decision-making process

Production Engineering Archives, 2020
The article presents sources of production knowledge and thoroughly describes its identification which on the construction of decision trees, and on the construction of knowledge bases for production processes.
Matuszny Marcin
doaj   +1 more source

Hydrogen‐Assisted Fracture of Iron‐Based Fe–Ni–Al Alloys

Advanced Engineering Materials, EarlyView.
Principal relations and fracture mechanisms of single‐phase and precipitate‐strengthened Fe–Ni–Al alloys subjected to prior electrochemical hydrogen charging are identified. The mechanisms of hydrogen effect on strength and microhardness are discussed, including hydrogen‐induced increase in microhardness and the role of hydrogen in fracture behavior ...
Nataliya Yadzhak, Olha Zvirko, Rostyslav Leshchak, Hryhoriy Nykyforchyn   +3 more
wiley   +1 more source

Cost-Sensitive Decision Trees with Completion Time Requirements [PDF]

In many classification tasks, managing costs and completion times are the main concerns. In this paper, we assume that the completion time for classifying an instance is determined by its class label, and that a late penalty cost is incurred if the ...
Hung-Pin KAO, Kwei TANG, Jen TANG
core  

Survival decision trees in the presence of competing risk events

, 2023
Survival analysis is essential for clinical investigations as it focuses on an outcome that occurs over time. This technique provides extra challenges for clinical investigators in the presence of competing risks since a person may suffer an event that ...
Boahene, Martha
core  

Reinforced Decision Trees

CoRR, 2015
In order to speed-up classification models when facing a large number of categories, one usual approach consists in organizing the categories in a particular structure, this structure being then used as a way to speed-up the prediction computation. This is for example the case when using error-correcting codes or even hierarchies of categories.
Léon, Aurélia, Denoyer, Ludovic
openaire   +3 more sources

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

On Testing Decision Tree.

, 2022
In this paper, we study testing decision tree of size and depth that are significantly smaller than the number of attributes n. Our main result addresses the problem of poly(n,1/ε) time algorithms with poly(s,1/ε) query complexity (independent of n) that distinguish between functions that are decision trees of size s from functions that are ε-far from ...
Bshouty, Nader H., Haddad-Zaknoon, Catherine A.   +1 more
openaire   +3 more sources