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From Common Sense Reasoning to Neural Network Models through Multiple Preferences: an overview [article]

Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupré
2021 arXiv   pre-print
We propose a concept-wise multipreference semantics, recently introduced for defeasible description logics to take into account preferences with respect to different concepts, as a tool for providing a  ...  It allows for logical properties of the network to be checked (by model checking) over an interpretation capturing the input-output behavior of the network.  ...  that they lead to a stationary state of N ), the fm-interpretation M f,∆ N is a coherent fuzzy multipreference model of the defeasible knowledge base K N .  ... 
arXiv:2107.04870v1 fatcat:qxz55dvfibaabffni7pwawdm3q

Computational Intelligence Approaches to Brain Signal Pattern Recognition [chapter]

Pawel Herman, Girijesh Prasad, Thomas Martin
2008 Pattern Recognition Techniques, Technology and Applications  
were expected to reflect a broad range of non-stationary variability effects in the underlying EEG.  ...  The starting point and inspiration for this work should be the remarkable contribution to the area of generalised T2FL made by the research team led by John, e.g. see a review in (John & Coupland, 2007  ...  A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process.  ... 
doi:10.5772/6238 fatcat:nveopxtjrbgvzdc7thscvqye4m

Fuzzy Bayesian Learning [article]

Indranil Pan, Dirk Bester
2018 arXiv   pre-print
We show the applicability of the method for regression and classification tasks using synthetic data-sets and also a real world example in the financial services industry.  ...  Finally we discuss the advantages and pitfalls of using this method over state-of-the-art techniques and highlight the specific class of problems where this would be useful.  ...  ACKNOWLEDGMENT The authors would like to thank Sciemus Ltd. for sponsoring this work.  ... 
arXiv:1610.09156v2 fatcat:drykhh33qzhubbt4ippzr3tjqu

Memory Effects in Quantum Processes [article]

Philip Taranto
2019 arXiv   pre-print
memory effects are exhibited depending on how one addresses the system, in contrast to the standard classical setting.  ...  This is achieved by constructing a quantum Markov order condition that naturally generalises its classical counterpart for the quantification of finite-length memory effects.  ...  We will return to a deeper discussion of this concept in the coming section.  ... 
arXiv:1909.05245v1 fatcat:qarlcet6afcrzhghgrzto2fjnm

On the colour and spin of epistemic error (and what we might do about it)

K. Beven, P. J. Smith, A. Wood
2011 Hydrology and Earth System Sciences Discussions  
In particular the way in which the colour in model residuals resulting from epistemic errors should be expected to be non-stationary means that it is difficult to justify the spin that the structure of  ...  To do so would be to greatly overestimate the information content in a set of calibration data and increase the possibility of both Type I and Type II errors.  ...  This work has been funded by the EPSRC Flood Risk Management Research Consortium project and the EU IMPRINTS FP7 project.  ... 
doi:10.5194/hessd-8-5355-2011 fatcat:o6ux7n3a7nb3lboi2imwgnegei

Generalized models of repairable systems: A survey via stochastic processes formalism

R. Guo, H. Asher, E. Love
2014 ORiON  
With the belief that only those stochastic processes reflecting the instinct nature of the actual physical processes of repairable systems, without excessive assumptions, may have a better chance to meet  ...  In this article, we survey the developments in the generalised models of repairable systems reliability during 1990s, particularly the last five years.  ...  Section 3 is used to discuss the age related generalised models, for example, the popular virtual age models initiated by Kijima, which in nature is a kind of (or a transformation) of "accelerated life  ... 
doi:10.5784/16-2-406 fatcat:lwiqzhbtjzedrcsdu4xnqo37ta

On the colour and spin of epistemic error (and what we might do about it)

K. Beven, P. J. Smith, A. Wood
2011 Hydrology and Earth System Sciences  
In particular the way in which the colour in model residuals resulting from epistemic errors should be expected to be non-stationary means that it is difficult to justify the spin that the structure of  ...  To do so would be to greatly overestimate the information content in a set of calibration data and increase the possibility of both Type I and Type II errors.  ...  This work has been funded by the EPSRC Flood Risk Management Research Consortium project and the EU IMPRINTS FP7 project.  ... 
doi:10.5194/hess-15-3123-2011 fatcat:otj6gbelbzcjhiskbf6mkmpr24

Quasi-arithmetic means of covariance functions with potential applications to space–time data

Emilio Porcu, Jorge Mateu, George Christakos
2009 Journal of Multivariate Analysis  
Finally, we use quasi-arithmetic functionals to generalise existing results concerning the construction of nonstationary spatial covariances, and discuss the applicability and limits of this generalisation  ...  In particular, we discuss the representation and smoothness properties of a weakly stationary random field with a quasi-arithmetic covariance function.  ...  The authors are indebted to Christian Genest for his unconditional support and useful discussions during the preparation of this manuscript. The referees and AE are acknowledged with thanks.  ... 
doi:10.1016/j.jmva.2009.02.013 fatcat:g3eewowskfg3rp3yd3yyyzn2hi

A software engineering framework for biomedical diagnostic systems

Ilias Petrounias, Vassilis S. Kodogiannis
2006 Proceedings of the 2006 international workshop on Workshop on interdisciplinary software engineering research - WISER '06  
This paper presents the use of an electronic nose and a neural network for classification of bacteria.  ...  It also discusses how this work can be generalized in other similar domains and the lessons to be learnt.  ...  For example, as part of the requirements engineering activity, requirements engineers start from informal and fuzzy requirements expressed by individual users and try to end up with a set of formal, fully  ... 
doi:10.1145/1137661.1137675 dblp:conf/wiser/PetrouniasK06 fatcat:yawf5gkoezfm7hffenajgc36bi

A cloned linguistic decision tree controller for real-time path planning in hostile environments

Oliver Turnbull, Jonathan Lawry, Mark Lowenberg, Arthur Richards
2016 Fuzzy sets and systems (Print)  
A modification to the algorithm to improve the performance in regions of high uncertainty is proposed and shown to further enhance generalisation.  ...  The idea of a Cloned Controller to approximate optimised control algorithms in a real-time environment is introduced.  ...  The layout of Fig. 1 also illustrates the general concept of a cloned controller. In offline "learn" mode, a complex controller is used to generate a training set.  ... 
doi:10.1016/j.fss.2015.08.017 fatcat:d54mn5rntrb65o3orzrom5hwli

Model selection approaches for non-linear system identification: a review

X. Hong, R.J. Mitchell, S. Chen, C.J. Harris, K. Li, G.W. Irwin
2008 International Journal of Systems Science  
Acknowledgements The authors thank the referees and the editors for their constructive comments to improve the quality of the article. Note  ...  Yet, the majority of real dynamics processes are complex, non-linear, non-stationary, stochastic and partially unknown.  ...  Despite the fact that the design of experiments for general non-linear system identification lacks a formal coverage, the underlying idea is closely related to the active learning (Plutowski and White  ... 
doi:10.1080/00207720802083018 fatcat:yw7icosldzan3kx4gfajyinp7y

PALM: An Incremental Construction of Hyperplanes for Data Stream Regression [article]

Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt
2018 arXiv   pre-print
PALM features utilization of a new type of fuzzy rule based on the concept of hyperplane clustering which significantly reduces the number of network parameters because it has no rule premise parameters  ...  The underlying bottleneck of SANFSs lies in its design principle which involves a high number of free parameters (rule premise and rule consequent) to be adapted in the training process.  ...  ACKNOWLEDGMENT The authors would like to thank the Unmanned Aerial Vehicle laboratory of the UNSW at the Australian Defense Force Academy for supporting with the real-world datasets from the quadcopter  ... 
arXiv:1805.04258v2 fatcat:k2k5k6tbzrfbzjkakols2brwfm

On the evolution of an intelligent maintenance optimization system

K A H Kobbacy
2004 Journal of the Operational Research Society  
The validation of IMOS involved the use of six data sets and a panel of six experts, who also met to discuss the results.  ...  Thus, the definition of DSS was adequately discussed and the special feature of the DSS that it has a ‘certain degree of intelligence’ started to emerge.  ... 
doi:10.1057/palgrave.jors.2601696 fatcat:5vgweqlvkvhvbcknjskjvp6zw4

A spectral mean for random closed curves

M.N.M. van Lieshout
2016 Spatial Statistics  
We propose a spectral mean for closed sets described by sample points on their boundaries subject to mis-alignment and noise.  ...  The method is illustrated on simulated data and applied to photographs of Lake Tana taken by astronauts during a Shuttle mission.  ...  Calculations were carried out in R using the package deSolve (Soetaert et al., 2010) . Appendix. Proofs of the theorems in Section 4 Proof of Theorem 1. Correlations  ... 
doi:10.1016/j.spasta.2016.02.002 fatcat:tcaizrlvmzgt3kvxs2etcykute

NON-LINEAR DYNAMICS, COMPLEXITY AND RANDOMNESS: ALGORITHMIC FOUNDATIONS

K. Vela Velupillai
2011 Journal of economic surveys (Print)  
In this paper I make an attempt to describe, discuss and extend a few aspects of the rich mathematical tapestry that can be woven with rigorous notions of non-linear dynamics, complexity and randomness  ...  Once the algorithmic foundations are in place, it is, for example, almost natural to consider the famed difficulties of obtaining closed form solutions for non-linear, complex or random dynamic models  ...  Naturally, none of these worthies are even remotely responsible for the remaining infelicities. Notes  ... 
doi:10.1111/j.1467-6419.2010.00668.x fatcat:wnpmjzboqnflrk22eysk65lu5y
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