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Multi-document summarization is the process of automatically generating a concise summary of multiple documents related to the same topic. This summary can help users quickly understand the key information from a large collection of…

计算与语言 · 计算机科学 2023-12-20 Charles Rajan , Nishit Asnani , Shreya Singh

We propose a definition of diversification as a binary relationship between financial portfolios. According to it, a convex linear combination of several risk positions with some weights is considered to be less risky than the probabilistic…

风险管理 · 定量金融 2022-04-05 Maria Logvaneva , Mikhail Tselishchev

Choice revision is a sort of non-prioritized multiple revision, in which the agent partially accepts the new information represented by a set of sentences. We investigate the construction of choice revision based on a new approach to belief…

逻辑 · 数学 2018-05-02 Li Zhang

In certain real-world optimization scenarios, practitioners are not interested in solving multiple problems but rather in finding the best solution to a single, specific problem. When the computational budget is large relative to the cost…

机器学习 · 计算机科学 2026-02-10 Judith Echevarrieta , Etor Arza , Aritz Pérez , Josu Ceberio

Reasoning under uncertainty is a fundamental challenge in Artificial Intelligence. As with most of these challenges, there is a harsh dilemma between the expressive power of the language used, and the tractability of the computational…

人工智能 · 计算机科学 2025-05-08 Luise Ge , Brendan Juba , Kris Nilsson

Recent work on machine learning has begun to consider issues of fairness. In this paper, we extend the concept of fairness to recommendation. In particular, we show that in some recommendation contexts, fairness may be a multisided concept,…

计算机与社会 · 计算机科学 2017-07-11 Robin Burke

Calibration is a classical notion from the forecasting literature which aims to address the question: how should predicted probabilities be interpreted? In a world where we only get to observe (discrete) outcomes, how should we evaluate a…

机器学习 · 计算机科学 2025-09-03 Parikshit Gopalan , Lunjia Hu

The article concerns hybrid combinations of empirical and parametric likelihood functions. Combining the two allows classical parametric likelihood to be crucially modified via the nonparametric counterpart, making possible model…

统计理论 · 数学 2024-09-25 Ingrid Dæhlen , Nils Lid Hjort

Existing question answering datasets focus on dealing with homogeneous information, based either only on text or KB/Table information alone. However, as human knowledge is distributed over heterogeneous forms, using homogeneous information…

计算与语言 · 计算机科学 2021-05-13 Wenhu Chen , Hanwen Zha , Zhiyu Chen , Wenhan Xiong , Hong Wang , William Wang

"Clarithmetic" is a generic name for formal number theories similar to Peano arithmetic, but based on computability logic (see http://www.cis.upenn.edu/~giorgi/cl.html) instead of the more traditional classical or intuitionistic logics.…

计算机科学中的逻辑 · 计算机科学 2011-08-24 Giorgi Japaridze

Complexity is an interdisciplinary concept which, first of all, addresses the question of how order emerges out of randomness. For many reasons matrices provide a very practical and powerful tool in approaching and quantifying the related…

软凝聚态物质 · 物理学 2008-12-18 S. Drozdz , J. Kwapien , J. Speth , M. Wojcik

We regard explanations as a blending of the input sample and the model's output and offer a few definitions that capture various desired properties of the function that generates these explanations. We study the links between these…

机器学习 · 计算机科学 2020-01-16 Lior Wolf , Tomer Galanti , Tamir Hazan

Selective inference is the problem of giving valid answers to statistical questions chosen in a data-driven manner. A standard solution to selective inference is simultaneous inference, which delivers valid answers to the set of all…

统计方法学 · 统计学 2024-05-03 Tijana Zrnic , William Fithian

One basic requirement of many studies is the necessity of classifying data. Clustering is a proposed method for summarizing networks. Clustering methods can be divided into two categories named model-based approaches and algorithmic…

机器学习 · 计算机科学 2013-02-19 Raheleh Namayandeh , Farzad Didehvar , Zahra Shojaei

A classification of different interpretations of the quantum formalism is examined and the concept of perspectival interpretation is presented. A perspectival interpretation implies that the truth is relative to the observer. The degree to…

量子物理 · 物理学 2023-10-11 Herve Zwirn

Bayesian and frequentist methods differ in many aspects, but share some basic optimality properties. In practice, there are situations in which one of the methods is more preferred by some criteria. We consider the case of inference about a…

统计理论 · 数学 2009-08-25 Ao Yuan

Issues can arise when research focused on fairness, transparency, or safety is conducted separately from research driven by practical deployment concerns and vice versa. This separation creates a growing need for translational work that…

The benefits of portfolio diversification is a central tenet implicit to modern financial theory and practice. Linked to diversification is the notion of breadth. Breadth is correctly thought of as the number of in- dependent bets available…

物理与社会 · 物理学 2008-12-08 Daniel Polakow , Tim Gebbie

In this paper, we develop a mathematical model of awareness based on the idea of plurality. Instead of positing a singular principle, telos, or essence as noumenon, we model it as plurality accessible through multiple forms of awareness…

综合数学 · 数学 2021-02-17 Shanna Dobson , Robert Prentner

An integral in the sense of principal value of a singular function or of product of singular functions can appear itself as a singular function in some range of values of integration parameters. In this case, if necessary subsequently to…

数学物理 · 物理学 2007-05-23 M. L. Nekrasov