Results 101 to 110 of about 31,789 (298)
Research of the two-criteria estimation method for linear regression models
Цифровые модели и решенияThe paper is devoted to the research of the two-criteria estimation method for linear regressions. The first criterion corresponds to the least absolute deviations, the second – to the non-strict ordinary least squares.
M.P. Bazilevskiy
doaj +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Post-Analysis Framework for Mining Actionable Patterns Using Clustering and Genetic Algorithms
IEEE Access, 2019 Mining association rules is an important technique in data analysis. Many approaches for rule analysis have been designed to address different problems.
Chun-Hao Chen +3 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Characterization of Pareto Dominance [PDF]
The Pareto dominance relation is shown to be the unique nontrivial partial order on the set of finite-dimensional real vectors satisfying a number of intuitive properties.Pareto dominance ...
Voorneveld, Mark
core
Autonomous AI‐Driven Design for Skin Product Formulations
Advanced Intelligent Discovery, EarlyView.This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
A note on the McKelvey uncovered set and Pareto optimality
, 2015 We consider the notion of Pareto optimality under the assumption that only the pairwise majority relation is known and show that the set of necessarily Pareto optimal alternatives coincides with the McKelvey uncovered set.
Brandt, Felix +2 more
core +2 more sources
Computing the Pareto-Nash equilibrium set in finite multi-objective mixed-strategy games [PDF]
Computer Science Journal of Moldova, 2013 The Pareto-Nash equilibrium set (PNES) is described as intersection of graphs of efficient response mappings. The problem of PNES computing in finite multi-objective mixed-strategy games (Pareto-Nash games) is considered.
Victoria Lozan, Valeriu Ungureanu
doaj
ISPRS International Journal of Geo-Information, 2018 Land-use allocation is of great significance in urban development. This type of allocation is usually considered to be a complex multi-objective spatial optimization problem, whose optimized result is a set of Pareto-optimal solutions (Pareto front ...
Lina Yang +3 more
doaj +1 more source
Pareto set for the USPS dataset.
The Pareto set is composed of 17 elements selected from 106 candidate solutions.
Hatem A. Khater (18297656) +2 more
core +1 more source