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Related papers: Evidence Against Evidence Theory (?!)

200 papers

Counterfactual explanations (CFEs) are an emerging technique under the umbrella of interpretability of machine learning (ML) models. They provide ``what if'' feedback of the form ``if an input datapoint were $x'$ instead of $x$, then an ML…

Machine Learning · Computer Science 2021-06-16 Sahil Verma , John Dickerson , Keegan Hines

This paper presents a new classifier combination technique based on the Dempster-Shafer theory of evidence. The Dempster-Shafer theory of evidence is a powerful method for combining measures of evidence from different classifiers. However,…

Artificial Intelligence · Computer Science 2011-07-04 A. Al-Ani , M. Deriche

This work concerns studies of field electron emission (FE) from large area emitters. It discusses--and where possible corrects--several literature weaknesses related to the analysis of experimental current-voltage data and related emitter…

Mesoscale and Nanoscale Physics · Physics 2023-07-19 Richard G. Forbes

The quantum probabilistic convergence in measurement, distinct from mathematical convergence, is derived for indeterminate probabilities from the weak quantum law of large numbers. This is presented in three theorems. The first establishes…

Quantum Physics · Physics 2015-12-03 Fedor Herbut

The core of Heisenberg's heuristic argument for the uncertainty principle, involving the famous $\gamma$-ray microscope $\textit{Gedankenexperiment}$, hinges upon the existence of measurements that irreversibly alter the state of the system…

Quantum Physics · Physics 2024-02-28 Marco Erba , Paolo Perinotti , Davide Rolino , Alessandro Tosini

Quantum theory in its conventional formulation is notoriously subject to various measurement-related paradoxes, as exemplified by the "Schrodinger's Cat" and "Wigner's Friend" thought experiments. It has been shown, for example by…

Quantum Physics · Physics 2024-10-04 R. E. Kastner

The issue of confidence factors in Knowledge Based Systems has become increasingly important and Dempster-Shafer (DS) theory has become increasingly popular as a basis for these factors. This paper discusses the need for an empirical…

Artificial Intelligence · Computer Science 2013-04-15 John F. Lemmer

A recent argument, attributed to Masanes, is claimed to show that the assumption that quantum measurements have definite, objective outcomes, is incompatible with quantum predictions. In this work, a detailed examination of the argument…

Quantum Physics · Physics 2021-03-30 Elias Okon

The correctness of the consistent histories analysis of weakly interacting probes, related to the path of a particle, is maintained against the criticisms in the Comment, and against the alternative approach described there, which receives…

Quantum Physics · Physics 2017-04-12 Robert B. Griffiths

A short foreword has been added for the archive version of this article, which otherwise appears as originally published in 1990, except for the updating of references. The original abstract follows. This is a critical review of the…

General Relativity and Quantum Cosmology · Physics 2015-06-25 Adrian Kent

This paper advocates the usefulness of new theories of uncertainty for the purpose of modeling some facets of uncertain knowledge, especially vagueness, in AI. It can be viewed as a partial reply to Cheeseman's (among others) defense of…

Artificial Intelligence · Computer Science 2013-04-10 Didier Dubois , Henri Prade

Incidence Calculus and Dempster-Shafer Theory of Evidence are both theories to describe agents' degrees of belief in propositions, thus being appropriate to represent uncertainty in reasoning systems. This paper presents a straightforward…

Artificial Intelligence · Computer Science 2013-04-05 F. Correa da Silva , Alan Bundy

A recent analysis [quant-ph/0104062] suggests that weak measurements can be used to give observational meaning to counterfactual reasoning in quantum physics. A weak measurement is predicted to assign a negative unit population to a…

Quantum Physics · Physics 2016-09-08 Klaus Molmer

Recent controversy regarding the meaning and usefulness of weak values is reviewed. It is argued that in spite of recent statistical arguments by Ferrie and Combes, experiments with anomalous weak values provide a useful amplification…

Quantum Physics · Physics 2017-10-25 Lev Vaidman

Recently we drew attention to the fact that most recent 5th force searches and tests of the weak equivalence principle (WEP) utilize only one or two pairs of test samples. We argue that, despite the great precision of these experiments, the…

High Energy Physics - Phenomenology · Physics 2021-05-10 Ephraim Fischbach , Dennis E. Krause , Megan H. McDuffie , Michael J. Mueterthies

Ernst Specker considered a particular feature of quantum theory to be especially fundamental, namely that pairwise joint measurability of sharp measurements implies their global joint measurability (https://vimeo.com/52923835). To date,…

Quantum Physics · Physics 2018-12-24 Tomáš Gonda , Ravi Kunjwal , David Schmid , Elie Wolfe , Ana Belén Sainz

The data of four recent experiments --- conducted in Delft, Vienna, Boulder, and Munich with the aim of refuting nonquantum hidden-variables alternatives to the quantum-mechanical description --- are evaluated from a Bayesian perspective of…

Quantum Physics · Physics 2019-02-20 Yanwu Gu , Weijun Li , Michael Evans , Berthold-Georg Englert

Conflict management is still an open issue in the application of Dempster Shafer evidence theory. A lot of works have been presented to address this issue. In this paper, a new theory, called as generalized evidence theory (GET), is…

Artificial Intelligence · Computer Science 2014-04-21 Yong Deng

Recently A. Rathke has argued that the KK$\psi$ model explanation of the discrepant measurements of Newton's constant is already ruled out due to E\"otv\"os experiments by several orders of magnitude. The structure of the action of the…

General Relativity and Quantum Cosmology · Physics 2007-05-23 J. P. Mbelek

Counterfactual explanations can be obtained by identifying the smallest change made to a feature vector to qualitatively influence a prediction; for example, from 'loan rejected' to 'awarded' or from 'high risk of cardiovascular disease' to…

Machine Learning · Computer Science 2020-05-05 Martin Pawelczyk , Johannes Haug , Klaus Broelemann , Gjergji Kasneci