$$\mathcal {G}$$G-distance and $$\mathcal {G}$$G-decomposition for improving $$\mathcal {G}$$G-consistency of a Pairwise Comparison Matrix
Sign Up to like & getrecommendations! Published in 2019 at "Fuzzy Optimization and Decision Making"
DOI: 10.1007/s10700-018-9286-3
Abstract: Pairwise comparisons have been a long standing technique for comparing alternatives/criteria and their role has been pivotal in the development of modern decision making methods. Since consistency ensures rational decisions, in literature several approaches are… read more here.
Keywords: pairwise comparison; pairwise; comparison matrix; consistency ... See more keywords
Modeling the early transmission of COVID-19 in New York and San Francisco using a pairwise network model
Sign Up to like & getrecommendations! Published in 2022 at "Infectious Disease Modelling"
DOI: 10.1016/j.idm.2021.12.009
Abstract: Classical epidemiological models assume mass action. However, this assumption is violated when interactions are not random. With the recent COVID-19 pandemic, and resulting shelter in place social distancing directives, mass action models must be modified… read more here.
Keywords: transmission; york san; san francisco; pairwise ... See more keywords
Generalization ability of online pairwise support vector machine
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Mathematical Analysis and Applications"
DOI: 10.1016/j.jmaa.2020.124914
Abstract: Abstract Pairwise classification depends on two input examples instead of one example and predicts whether the two input examples belong to the same class or to different classes. In this paper we investigate online pairwise… read more here.
Keywords: opsvm algorithm; vector machine; pairwise support; online pairwise ... See more keywords
A counterexample to the existence of a general central limit theorem for pairwise independent identically distributed random variables
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Mathematical Analysis and Applications"
DOI: 10.1016/j.jmaa.2021.124982
Abstract: Abstract The classical Central Limit Theorem (CLT) is one of the most fundamental results in statistics. It states that the standardized sample mean of a sequence of n mutually independent and identically distributed random variables… read more here.
Keywords: limit theorem; pairwise; central limit; random variables ... See more keywords
Logical and test consistency in pairwise multiple comparisons
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2019.09.009
Abstract: Abstract In this study, we reformulate pairwise comparisons as penalized likelihood estimation problems based on the L 1 penalties on the pairwise differences. The proposed approach offers a natural way to avoid logically contradictory conclusions… read more here.
Keywords: multiple comparisons; pairwise; test consistency; pairwise multiple ... See more keywords
High-fidelity reversible data hiding based on geodesic path and pairwise prediction-error expansion
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.11.017
Abstract: Abstract It is often important for reversible data hiding (RDH) to reduce the amount of image modifications for a given capacity. To this end, recently, a pairwise prediction-error expansion (pairwise PEE) is proposed to better… read more here.
Keywords: prediction error; pairwise; pairwise prediction; data hiding ... See more keywords
Refined bounds for online pairwise learning algorithms
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.11.049
Abstract: Abstract Motivated by the recent growing interest in pairwise learning problems, we study the generalization performance of Online Pairwise lEaRning Algorithm (OPERA) in a reproducing kernel Hilbert space (RKHS) without an explicit regularization. The convergence… read more here.
Keywords: pairwise; online pairwise; pairwise learning; refined bounds ... See more keywords
Deep discrete hashing with pairwise correlation learning
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.078
Abstract: Abstract Hashing technology plays an important role in large-scale visual search due to its low memory and fast retrieval speed. Most existing deep hashing approaches first leverage the continuous relaxation strategy to learn continuous approximate… read more here.
Keywords: discrete hashing; hash; pairwise; pairwise correlation ... See more keywords
ON MINIMAL SETS OF $(0,1)$ -MATRICES WHOSE PAIRWISE PRODUCTS FORM A BASIS FOR $M_{n}(\mathbb{F})$
Sign Up to like & getrecommendations! Published in 2018 at "Bulletin of the Australian Mathematical Society"
DOI: 10.1017/s000497271800076x
Abstract: Three families of examples are given of sets of $(0,1)$ -matrices whose pairwise products form a basis for the underlying full matrix algebra. In the first two families, the elements have rank at most two… read more here.
Keywords: matrices whose; pairwise; pairwise products; products form ... See more keywords
Comparison of the Performance of van der Waals Dispersion Functionals in the Description of Water and Ethanol on Transition Metal Surfaces
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Physical Chemistry C"
DOI: 10.1021/acs.jpcc.7b09749
Abstract: Pairwise van der Waals (vdW) corrections have been routinely added to density functional theory (DFT) adsorption studies of inorganic or organic molecules on solid surfaces, however, comparative studies of the available pairwise corrections, e.g., D2,… read more here.
Keywords: van der; transition metal; der waals; water ethanol ... See more keywords
Beyond pairwise network similarity: exploring mediation and suppression between networks
Sign Up to like & getrecommendations! Published in 2020 at "Communications Physics"
DOI: 10.1038/s42005-021-00638-9
Abstract: Network similarity measures quantify how and when two networks are symmetrically related, including measures of statistical association such as pairwise distance or other correlation measures between networks or between the layers of a multiplex network,… read more here.
Keywords: mediation suppression; network; pairwise; mediation ... See more keywords