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Related papers: Recent progress in PDF theory

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Automatic summarization of legal texts is an important and still a challenging task since legal documents are often long and complicated with unusual structures and styles. Recent advances of deep models trained end-to-end with…

Computation and Language · Computer Science 2022-04-14 Duy-Hung Nguyen , Bao-Sinh Nguyen , Nguyen Viet Dung Nghiem , Dung Tien Le , Mim Amina Khatun , Minh-Tien Nguyen , Hung Le

We present an investigation of the theoretical uncertainties in parton distribution functions (PDFs) due to missing higher-order corrections in the perturbative predictions used in the fit, and their relationship to the uncertainties in…

High Energy Physics - Phenomenology · Physics 2019-05-02 L. A. Harland-Lang , R. S. Thorne

The status of our understanding of relativistic sum rules is reviewed. The recent development of new theoretical methods for the evaluation of these sum rules offers hope for further advances in this challenging field. These new techniques…

Atomic Physics · Physics 2015-06-26 Scott M. Cohen

We prove new results, related to the Littlewood and Mixed Littlewood conjectures in Diophantine approximation.

Number Theory · Mathematics 2013-05-07 Evgeni Dimitrov , Yakov Sinai

An overview of the recent developments in plurifine potential theory.

Complex Variables · Mathematics 2012-07-04 Jan Wiegerinck

In recent years, there has been an exponential growth in the number of complex documents and texts that require a deeper understanding of machine learning methods to be able to accurately classify texts in many applications. Many machine…

Machine Learning · Computer Science 2020-05-21 Kamran Kowsari , Kiana Jafari Meimandi , Mojtaba Heidarysafa , Sanjana Mendu , Laura E. Barnes , Donald E. Brown

In this paper we provide an exhaustive survey of the current state of the mathematics of filtration enlargement and an interpretation of the key results of the literature from the viewpoint of mathematical finance. The emphasis is on…

Mathematical Finance · Quantitative Finance 2023-03-08 Karen Grigorian , Robert A. Jarrow

In this paper, we exploit the innate document segment structure for improving the extractive summarization task. We build two text segmentation models and find the most optimal strategy to introduce their output predictions in an extractive…

Computation and Language · Computer Science 2023-01-24 Lesly Miculicich , Benjamin Han

The current expansion of theory and research on artificial intelligence in management and organization studies has revitalized the theory and research on decision-making in organizations. In particular, recent advances in deep learning (DL)…

Machine Learning · Computer Science 2020-11-06 Yash Raj Shrestha , Vaibhav Krishna , Georg von Krogh

I review the current status of the nucleon PDFs determined from global fits with emphasis on the impact of recent experimental data and the remaining theoretical challenges.

High Energy Physics - Phenomenology · Physics 2010-12-13 S. Alekhin

In this paper, a survey about recent progress on problems solved using graph amalgamations is presented, along with some new results with complete proofs, and some related open problems.

Combinatorics · Mathematics 2017-10-12 Amin Bahmanian , Chris Rodger

Decision theories offer principled methods for making choices under various types of uncertainty. Algorithms that implement these theories have been successfully applied to a wide range of real-world problems, including materials and drug…

Machine Learning · Computer Science 2026-05-26 Agustinus Kristiadi

Recent progress concerning regularization of supersymmetric theories is reviewed. Dimensional reduction is reformulated in a mathematically consistent way, and an elegant and general method is presented that allows to study the…

High Energy Physics - Phenomenology · Physics 2007-05-23 Dominik Stöckinger

Parton Distribution Functions (PDFs) play a central role in describing experimental data at colliders and provide insight into the structure of nucleons. As the LHC enters an era of high-precision measurements, a robust PDF determination…

High Energy Physics - Phenomenology · Physics 2026-01-21 Amedeo Chiefa , Luigi Del Debbio , Richard Kenway

We survey a few of the many results now known about the self-distributivity law and selfdistributive structures, with a special emphasis on the associated word problems and the algorithms solving them in good cases.

Group Theory · Mathematics 2018-02-27 Patrick Dehornoy

This talk reviews some recent trends in perturbative quantum chromodynamics, with emphasis on higher orders in perturbation theory, resummation and power corrections.

High Energy Physics - Phenomenology · Physics 2014-11-17 George Sterman

A method to approximate continuous multi-dimensional probability density functions (PDFs) using their projections and correlations is described. The method is particularly useful for event classification when estimates of systematic…

Data Analysis, Statistics and Probability · Physics 2009-10-31 Dean Karlen

We demonstrate that theoretical predictions using current resummation techniques for the lepton pair production (LPP) rapidity and $x_F$ distributions can be inconsistent with data in high rapidity and $x_F$ kinematic regions by observing…

High Energy Physics - Phenomenology · Physics 2017-04-05 David Westmark , J. F. Owens

Several conjectural continued fractions found with the help of various algorithms are published in this paper.

Number Theory · Mathematics 2017-04-14 Thomas Baruchel

Reliable knowledge of parton distribution functions is crucial for many searches for new physics signals in the next generation of experiments. Presently, there remain a number of open questions regarding the PDF's and their uncertainties.…

High Energy Physics - Phenomenology · Physics 2007-05-23 Fredrick Olness
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