Results 131 to 140 of about 153,582,606 (300)
Advanced Intelligent Discovery, EarlyView.With the downstream filter held fixed, text‐derived composition representations produce distinct screening outcomes across 14 electrocatalyst libraries. Embedding model and composition encoding control the trade‐off between candidate reduction and preservation of the best measured current.
Lei Zhang, Markus Stricker
wiley +1 more source
Pareto solution set of robust control parameters Γ = 20.
, 2018 Pareto solution set of robust control parameters Γ = 20.
Wei Hao (134390) +3 more
core +1 more source
Compromise, optimal and tractional accounts on Pareto set
Science and Transport Progress, 2011 The problem of optimum traction calculations is considered as a problem about optimum distribution of a resource. The dynamic programming solution is based on a step-by-step calculation of set of points of Pareto-optimum values of a criterion function (energy expenses) and a resource (time).
openaire +3 more sources
Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation
Advanced Intelligent Discovery, EarlyView.Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei +9 more
wiley +1 more source
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
Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training
Advanced Intelligent Systems, EarlyView.The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang +4 more
wiley +1 more source
The Collective Power of Bacteria as a Blueprint for Emergent Intelligence
Advanced Intelligent Systems, EarlyView.Small cells, powerful collectives. Bacteria demonstrate how sophisticated behaviors can emerge from many simple individuals working together. We explore the remarkable world of bacterial communities and the mechanisms that underpin their complex emergent behaviors, enabling impressive adaptability, robustness, and responsiveness to changing ...
Johanna A. Blee +2 more
wiley +1 more source
Joint DOA and TOA estimation method based on Pareto multi-task learning
上海师范大学学报. 自然科学版A joint estimation method for direction of arrival （DOA） and time of arrival （TOA） was proposed based on Pareto multi-task learning， which transformed the traditional multi-task learning problem into a multi-objective optimization problem for solution. A
CHEN Erqi, WEI Shuang
doaj +1 more source
Constrained Pareto Set Identification with Bandit Feedback
CoRRTo appear in Proceedings of ...
Kone, Cyrille +2 more
openaire +4 more sources