Results 201 to 210 of about 1,099,722 (325)
Query Chains: Learning to Rank from Implicit Feedback [PDF]
, 2006 Filip Radlinski, Thorsten Joachims
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International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Learning to rank atlases for multiple-atlas segmentation. [PDF]
IEEE Trans Med Imaging, 2014 Sanroma G, Wu G, Gao Y, Shen D.
europepmc +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Research on B Cell Algorithm for Learning to Rank Method Based on Parallel Strategy. [PDF]
PLoS One, 2016 Tian Y, Zhang H.
europepmc +1 more source
Learning to rank para busca em Comércio Eletrônico
, 2018 Roberto Cidade Fonseca
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An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance [PDF]
, 2019 Sebastian Bruch +3 more
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Advanced Engineering Materials, EarlyView.This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley +1 more source