Výsledky vyhledávání - "Closed form solution"

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On an EM-based closed-form solution for 2 parameter IRT models

Autor: Noventa, Stefano, Faleh, Roberto, Kelava, Augustin

It is a well-known issue that in Item Response Theory models there is no closed-form for the maximum likelihood estimators of the item parameters. Parameter estimation is therefore typically achieved by means of numerical methods like gradient search

Externí odkaz: http://arxiv.org/abs/2411.18351

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Accurate Closed-Form Solution for Symbol Error Probability in Hexagonal QAM

Autor: Sukhsagar, Kumar, Nagendra, Bhatia, Vimal

Future communication systems are anticipated to facilitate applications requiring high data transmission rates while maintaining energy efficiency. Hexagonal quadrature amplitude modulation (HQAM) offers this owing to its compact symbol arrangement w

Externí odkaz: http://arxiv.org/abs/2410.02661

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Efficient, gigapixel-scale, aberration-free whole slide scanner using angular ptychographic imaging with closed-form solution

Autor: Zhao, Shi, Zhou, Haowen, Lin, Siyu, Cao, Ruizhi, Yang, Changhuei

Whole slide imaging provides a wide field-of-view (FOV) across cross-sections of biopsy or surgery samples, significantly facilitating pathological analysis and clinical diagnosis. Such high-quality images that enable detailed visualization of cellul

Externí odkaz: http://arxiv.org/abs/2407.20469

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A Closed-Form Solution to the 2-Sample Problem for Quantifying Changes in Gene Expression using Bayes Factors

Autor: Hoerbst, Franziska, Sidhu, Gurpinder Singh, Tomkins, Melissa, Morris, Richard J.

Sequencing technologies have revolutionised the field of molecular biology. We now have the ability to routinely capture the complete RNA profile in tissue samples. This wealth of data allows for comparative analyses of RNA levels at different times,

Externí odkaz: http://arxiv.org/abs/2406.19989

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Optimal Bias-Correction and Valid Inference in High-Dimensional Ridge Regression: A Closed-Form Solution

Autor: Gao, Zhaoxing, Tsay, Ruey S.

Ridge regression is an indispensable tool in big data analysis. Yet its inherent bias poses a significant and longstanding challenge, compromising both statistical efficiency and scalability across various applications. To tackle this critical issue,

Externí odkaz: http://arxiv.org/abs/2405.00424

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Akademický článek

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Akademický článek

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Akademický článek

Two-Dimensional Target Localization Approach via a Closed-Form Solution Using Range Difference Measurements Based on Pentagram Array.

Autor: Khalafalla, Mohammed¹ (AUTHOR) 201914010106@std.uestc.edu.cn, Jiang, Kaili¹ (AUTHOR) jiangkelly@uestc.edu.cn, Tian, Kailun¹ (AUTHOR), Feng, Hancong¹ (AUTHOR), Xiong, Ying¹ (AUTHOR), Tang, Bin¹ (AUTHOR)

Publikováno v: Remote Sensing. Apr2024, Vol. 16 Issue 8, p1370. 18p.