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Relevant bibliographies by topics / Probabilistic transformation

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Academic literature on the topic 'Probabilistic transformation'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Probabilistic transformation"

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Ahsanullah, T. M. G., and Gunther Jäger. "Probabilistic convergence transformation groups." Mathematica Slovaca 68, no. 6 (2018): 1447–64. http://dx.doi.org/10.1515/ms-2017-0194.

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Abstract We introduce a notion of a probabilistic convergence transformation group, and present various natural examples including quotient probabilistic convergence transformation group. In doing so, we construct a probabilistic convergence structure on the group of homeomorphisms and look into a probabilistic convergence group that arises from probabilistic uniform convergence structure on function spaces. Given a probabilistic convergence space, and an arbitrary group, we construct a probabilistic convergence transformation group. Introducing a notion of a probabilistic metric convergence t

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Ahsanullah, T. M. G., Fawzi Al-Thukair, and Bhamini Nayar. "On the categories of probabilistic approach groups: Actions." Filomat 37, no. 16 (2023): 5413–26. http://dx.doi.org/10.2298/fil2316413a.

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Starting with the category of probabilistic approach groups, we show that the category of approach groups can be embedded into the category of probabilistic approach groups as a bicoreflective subcategory; further, considering a category of probabilistic topological convergence groups, we show that the category of probabilistic topological convergence groups is isomorphic to the category of probabilistic approach groups under so-called triangle function ?: ?+ ? ?+ ?? ?+, where ?+ is the set of all distance distribution functions that plays a central role for probabilistic metric spaces. Moreov

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Feng, Y., R. Duan, and M. Ying. "Catalyst-Assisted Probabilistic Entanglement Transformation." IEEE Transactions on Information Theory 51, no. 3 (2005): 1090–101. http://dx.doi.org/10.1109/tit.2004.842574.

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TIAN, XIU-LAO, WEI ZHANG, MEI-XIA ZHAO, and XIAO-QIANG XI. "UNITARY TRANSFORMATION IN PROBABILISTIC TELEPORTATION." International Journal of Quantum Information 10, no. 05 (2012): 1250061. http://dx.doi.org/10.1142/s021974991250061x.

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We proposed a general transformation in probabilistic teleportation, which is based on different entanglement matching coefficients K corresponding to different unitary evolution which provides one with more flexible evolution method experimentally. Through analysis based on the Bell basis and generalized Bell basis measurement for two probabilistic teleportation, we suggested a general probability of successful teleportation, which is not only determined by the entanglement degree of transmission channels and measurement methods, but also related to the unitary transformation in the teleporta

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Maximova, Maria, Holger Giese, and Christian Krause. "Probabilistic timed graph transformation systems." Journal of Logical and Algebraic Methods in Programming 101 (December 2018): 110–31. http://dx.doi.org/10.1016/j.jlamp.2018.09.003.

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Agoestanto, Arief, St. Budi Waluya, Scolastika Mariani, and Annisa Salma Zakiyyah. "Analysis of Location and Causes Of College Students' Errors In Probabilistic Problem Solving." Kreano, Jurnal Matematika Kreatif-Inovatif 16, no. 1 (2025): 248–59. https://doi.org/10.15294/kreano.v16i1.22111.

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Problem solving is a necessity for college students, including probabilistic problems. However, student errors in solving these problems continue to occur, necessitating an analysis of the location and causes. The goal of this research is to identify the locations and causes of probabilistic problem-solving errors. This is a qualitative research. The study's subjects were nine students from Semarang State University's Mathematics Education Study Program with low Student Academic Ability (SAA). Based on the subject's problem-solving outcomes, the location and sources of errors in solving probab

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Baker, Rose. "Probabilistic Applications of the Schlömilch Transformation." Communications in Statistics - Theory and Methods 37, no. 14 (2008): 2162–76. http://dx.doi.org/10.1080/03610920801892014.

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Wang, Ziqi, Gu Xu, Hang Li, and Ming Zhang. "A Probabilistic Approach to String Transformation." IEEE Transactions on Knowledge and Data Engineering 26, no. 5 (2014): 1063–75. http://dx.doi.org/10.1109/tkde.2013.11.

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Vinothh, V., R. Thaneshwaran, and K. G. S. Venkatesan. "A Probabilistic Approach to String Transformation." COMPUSOFT: An International Journal of Advanced Computer Technology 04, no. 05 (2015): 1818–21. https://doi.org/10.5281/zenodo.14785360.

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The string model has been applied to a wide range of problems, including spelling correction. These models consist of two components: a source model and a channel model. Very little research has gone into improving the channel model for spelling correction. We Describes a new channel model for spelling correction, based on generic string to string edits. Using this model gives significant performance improvements compared to previously proposed models. We propose a novel and probabilistic approach to string transformation, which is both accurate and efficient. In this approach includes the use

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Liu, Xian-Fang, Ya-Qing Bi, and Qiu-Ming Luo. "New Proofs of Someq-Summation andq-Transformation Formulas." Scientific World Journal 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/940358.

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We obtain an expectation formula and give the probabilistic proofs of some summation and transformation formulas ofq-series based on our expectation formula. Although these formulas in themselves are not the probability results, the proofs given are based on probabilistic concepts.

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Dissertations / Theses on the topic "Probabilistic transformation"

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Brust, Alexander Frederick. "Applications of Graph Cutting for Probabilistic Characterization of Microstructures in Ferrous Alloys." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555523646156822.

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Helbert, Céline. "Modèles probabilistes de germination/croissance pour la transformation des poudres." Phd thesis, Ecole Nationale Supérieure des Mines de Saint-Etienne, 2005. http://tel.archives-ouvertes.fr/tel-00803655.

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Ce travail se place dans le cadre physico-chimique du modèle de Mampel : modèle de transformation des poudres par germination surfacique et croissance isotrope. Tout d'abord, une relecture probabiliste des hypothèses du modèle existant permet d'établir une expression générale du degré d'avancement de la transformation. Elle s'affranchit de toute considération géométrique et est valable en conditions non isothermes non isobares. L'évaluation numérique se fait naturellement par la méthode de Monte Carlo. L'accélération de la simulation est alors réalisée en mettant en œuvre différentes technique

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Jousse, Florent. "Transformations d'Arbres XML avec des Modèles Probabilistes pour l'Annotation." Phd thesis, Université Charles de Gaulle - Lille III, 2007. http://tel.archives-ouvertes.fr/tel-00342649.

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Cette thèse traite de l'apprentissage supervisé de transformations d'arbres XML. Le langage XML permet de décrire des données sous forme d'arbres dont la structure est définie par un schéma. Il est par conséquent devenu le standard en termes d'échanges de données, que ce soit sur le Web ou entre plusieurs applications. Toutefois, les documents XML peuvent avoir des structures très variables. La grande variété de ces structures nécessite alors d'être capable de transformer de tels arbres. Nous proposons d'effectuer de telles transformations d'arbres XML en annotant les arbres d'entrée, c'est-à-

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Gagatsos, Christos. "Gaussian deterministic and probabilistic transformations of bosonic quantum fields: squeezing and entanglement generation." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209146.

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The processing of information based on the generation of common quantum optical states (e.g. coherent states) and the measurement of the quadrature components of the light field (e.g. homodyne detection) is often referred to as continuous-variable quantum information processing. It is a very fertile field of investigation, at a crossroads between quantum optics and information theory, with notable successes such as unconditional continuous-variable quantum teleportation or Gaussian quantum key distribution. In quantum optics, the states of the light field are conveniently characterized using a

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Exarchakis, Georgios [Verfasser], Jörg [Akademischer Betreuer] Lücke, and Bruno [Akademischer Betreuer] Olshausen. "Probabilistic models for invariant representations and transformations / Georgios Exarchakis ; Jörg Lücke, Bruno Olshausen." Oldenburg : BIS der Universität Oldenburg, 2016. http://d-nb.info/1141904470/34.

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Puggioni, Paolo. "Input-output transformations in the awake mouse brain using whole-cell recordings and probabilistic analysis." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/11695.

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The activity of cortical neurons in awake brains changes dynamically as a function of the behavioural and attentional state. The primary motor cortex (M1) plays a central role in regulating complex motor behaviors. Despite a growing knowledge on its connectivity and spiking pattern, little is known about intra-cellular mechanism and rhythms underlying motor-command generation. In the last decade, whole-cell recordings in awake animals has become a powerful tool for characterising both sub-and supra-threshold activity during behaviour. Seminal in vivo studies have shown that changes in input st

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Al-Bashabsheh, Ali. "Normal Factor Graphs." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30659.

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This thesis introduces normal factor graphs under a new semantics, namely, the exterior function semantics. Initially, this work was motivated by two distinct lines of research. One line is ``holographic algorithms,'' a powerful approach introduced by Valiant for solving various counting problems in computer science; the other is ``normal graphs,'' an elegant framework proposed by Forney for representing codes defined on graphs. The nonrestrictive normality constraint enables the notion of holographic transformations for normal factor graphs. We establish a theorem, called the generalized Ho

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Levray, Amélie. "Interval-based possibility theory : conditioning and probability/possibility transformations." Thesis, Artois, 2017. http://www.theses.fr/2017ARTO0408/document.

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Cette thèse contribue au développement de formalismes efficaces pour représenter l’information incertaine. Les formalismes existants tels que la théorie des probabilités ou la théorie des possibilités sont parmi les cadres les plus connus et utilisés pour représenter ce type d’information. Différentes extensions (e.g. théorie des probabilités imprécises, théorie des possibilités à intervalles) ont été proposées pour traiter des informations incomplètes ou des connaissances mal-connues, ainsi que pour raisonner avec les connaissances d’un groupe d’experts. Les contributions de cette thèse sont

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Saias, Eric. "Applications de la méthode du col à certains problèmes de crible." Nancy 1, 1990. http://www.theses.fr/1990NAN10167.

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Nous étudions ici la répartition des entiers dont tous les facteurs premiers sont dans un intervalle. Nous montrons que sous certaines conditions, le nombre de ces entiers plus petits que le paramètre X peut être approché avec une grande précision par une fonction à variations régulières. En montrant cela, nous améliorions certains résultats de De Bruijn, Hildebrand et Friedlander. De plus, nous comparons le nombre de ces entiers avec l'estimation qui découle de certaines hypothèses probabilistes, caractéristiques de la théorie du crible combinatoire. Tout cela nous amène à étudier aussi le co

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Moreira, Filho Roberto Malheiros. "Redução de valores no critério de decisão em aplicações de Rough Sets com dominância e seus impactos na qualidade da aproximação." Universidade Federal Fluminense, 2012. https://repositorio.ufjf.br/jspui/handle/ufjf/7157.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2018-09-03T15:49:55Z No. of bitstreams: 1 robertomalheirosmoreirafilho.pdf: 1784153 bytes, checksum: 65d1abd13eb713e62923e5d3c4d69acf (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2018-09-03T15:53:44Z (GMT) No. of bitstreams: 1 robertomalheirosmoreirafilho.pdf: 1784153 bytes, checksum: 65d1abd13eb713e62923e5d3c4d69acf (MD5)<br>Made available in DSpace on 2018-09-03T15:53:44Z (GMT). No. of bitstreams: 1 robertomalheirosmoreirafilho.pdf: 1784153 bytes, checksum: 65d1abd13eb713e62923e5d3c4d69acf

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Books on the topic "Probabilistic transformation"

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Polyakova, Anna, Tat'yana Sergeeva, and Irina Kitaeva. The continuous formation of the stochastic culture of schoolchildren in the context of the digital transformation of general education. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1876368.

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The material presented in the monograph shows the possibilities of continuous teaching of mathematics at school, namely, the significant potential of modern information and communication technologies, with the help of which it is possible to form elements of stochastic culture among students. Continuity in learning is considered from two positions: procedural and educational-cognitive. In addition, a distinctive feature of the book is the presentation of the digital transformation of general education as a way to overcome the "new digital divide". Methodological features of promising digital t

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Moss, Sarah. Probabilistic Knowledge. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198792154.001.0001.

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Traditional philosophical discussions of knowledge have focused on the epistemic status of full beliefs. This book argues that in addition to full beliefs, credences can constitute knowledge. For instance, your .4 credence that it is raining outside can constitute knowledge, in just the same way that your full beliefs can. In addition, you can know that it might be raining, and that if it is raining then it is probably cloudy, where this knowledge is not knowledge of propositions, but of probabilistic contents. The notion of probabilistic content introduced in this book plays a central role no

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Grenander, Ulf, and Michael I. Miller. Pattern Theory. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780198505709.001.0001.

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Pattern Theory provides a comprehensive and accessible overview of the modern challenges in signal, data, and pattern analysis in speech recognition, computational linguistics, image analysis and computer vision. Aimed at graduate students in biomedical engineering, mathematics, computer science, and electrical engineering with a good background in mathematics and probability, the text includes numerous exercises and an extensive bibliography. Additional resources including extended proofs, selected solutions and examples are available on a companion website. The book commences with a short ov

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Moss, Sarah. Knowledge and action. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198792154.003.0009.

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This chapter develops and defends two probabilistic knowledge norms of action. The first is a knowledge norm for reasons, namely that you may treat a probabilistic content as a reason for action if and only if you know it. This norm can help explain intuitive judgments about rational action. It can also help us rethink alleged instances of pragmatic encroachment often cited as challenges for existing knowledge norms of action. The second norm defended in this chapter is a knowledge norm for decisions. According to this norm, an action is permissible for you if and only if it is considered perm

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Humphreys, Paul. Philosophical Papers. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199334872.001.0001.

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Paul Humphreys pioneered philosophical investigations into the methodological revolution begun by computer simulations. He has also made important contributions to the contemporary literature on emergence by developing the fusion account of diachronic emergence and its generalization, transformational emergence. He is the discoverer of what has come to be called “Humphreys” Paradox in probability theory and has also made influential contributions to the literature on probabilistic causality and scientific explanation. This collection contains fourteen of his previously published papers on topi

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Tiwari, Sandip. Semiconductor Physics. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198759867.001.0001.

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A graduate-level text, Semiconductor physics: Principles, theory and nanoscale covers the central topics of the field, together with advanced topics related to the nanoscale and to quantum confinement, and integrates the understanding of important attributes that go beyond the conventional solid-state and statistical expositions. Topics include the behavior of electrons, phonons and photons; the energy and entropic foundations; bandstructures and their calculation; the behavior at surfaces and interfaces, including those of heterostructures and their heterojunctions; deep and shallow point per

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Book chapters on the topic "Probabilistic transformation"

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Maximova, Maria, Holger Giese, and Christian Krause. "Probabilistic Timed Graph Transformation Systems." In Graph Transformation. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61470-0_10.

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Schneider, Sven, Maria Maximova, and Holger Giese. "Probabilistic Metric Temporal Graph Logic." In Graph Transformation. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09843-7_4.

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Krause, Christian, and Holger Giese. "Probabilistic Graph Transformation Systems." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33654-6_21.

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Maximova, Maria, Sven Schneider, and Holger Giese. "Interval Probabilistic Timed Graph Transformation Systems." In Graph Transformation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78946-6_12.

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Atkinson, Timothy, Detlef Plump, and Susan Stepney. "Probabilistic Graph Programs for Randomised and Evolutionary Algorithms." In Graph Transformation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92991-0_5.

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Schneider, Sven, Maria Maximova, and Holger Giese. "Stochastic Timed Graph Transformation Systems." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-90900-9_10.

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Abstract The correct operation of safety-critical distributed embedded systems is crucial. Following a model-driven approach, the relevant system aspects must be captured and rigorous ideally fully-automatic analysis of (probabilistic) timed safety properties must be supported. Probabilistic Timed Graph Transformation Systems (PTGTSs) support the modeling of such systems and analysis of such properties via model checking or simulation. However, they only support the modeling of probabilistic choice with a fixed numbers of outcomes and non-deterministic timing delays via timing constraints limi

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Zöllner, Christian, Matthias Barkowsky, Maria Maximova, and Holger Giese. "On the Complexity of Simulating Probabilistic Timed Graph Transformation Systems." In Graph Transformation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78946-6_14.

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Wagenknecht, Michael, and Ulrike Gocht. "Uncertainties and Transformation Principles in PSA." In Probabilistic Safety Assessment and Management. Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_445.

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Klinkenberg, Lutz, Kevin Batz, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Joshua Moerman, and Tobias Winkler. "Generating Functions for Probabilistic Programs." In Logic-Based Program Synthesis and Transformation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68446-4_12.

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Sneyers, Jon, and Danny De Schreye. "Probabilistic Termination of CHRiSM Programs." In Logic-Based Program Synthesis and Transformation. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32211-2_15.

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Conference papers on the topic "Probabilistic transformation"

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Gao, Yin-Qiu, and Zhen Yang. "Probabilistic Approach for Speaker Transformation." In 2007 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2007. http://dx.doi.org/10.1109/wicom.2007.706.

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Boev, I. V., and O. I. Boev. "Singularity - Probabilistic Management of Personal Transformation." In X All-Russian Scientific Conference "System Synthesis and Applied Synergetics". Southern Federal University, 2021. http://dx.doi.org/10.18522/syssyn-2021-49.

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Fang, Cheng, Zhizhen Ma, Kai Wang, and Boyu Qin. "Nataf Transformation based Probabilistic Energy Flow Calculation." In 2019 IEEE 8th International Conference on Advanced Power System Automation and Protection (APAP). IEEE, 2019. http://dx.doi.org/10.1109/apap47170.2019.9225006.

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Qiao, C., H. Livani, and M. Sami Fadali. "Probabilistic optimal power flow using unscented transformation." In 2015 North American Power Symposium (NAPS). IEEE, 2015. http://dx.doi.org/10.1109/naps.2015.7335155.

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Moiseev, D. "Methodology of Probabilistic Representation and Transformation of Information." In 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). IEEE, 2019. http://dx.doi.org/10.1109/fareastcon.2019.8934304.

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Mak, Man-wai, and Kwok-kwong Yiu. "Probabilistic Feature Transformation for Channel Robust Speaker Verification." In 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing. IEEE, 2006. http://dx.doi.org/10.1109/mlsp.2006.275589.

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Alawad, Mohammed, and Mingjie Lin. "Energy-efficient imprecise reconfigurable computing through probabilistic domain transformation." In 2014 IEEE Dallas Circuits and Systems Conference (DCAS). IEEE, 2014. http://dx.doi.org/10.1109/dcas.2014.6965329.

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Orbes, Mauricio, Lauge Sørensen, Jorge Cardoso, et al. "PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation." In Image Processing, edited by Elsa D. Angelini and Bennett A. Landman. SPIE, 2019. http://dx.doi.org/10.1117/12.2512520.

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Sahraeian, Sayed Mohammad Ebrahim, and Byung-Jun Yoon. "Probabilistic consistency transformation for multiple alignment of biological networks." In 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS). IEEE, 2011. http://dx.doi.org/10.1109/gensips.2011.6169440.

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AbouJaoude, Abdo, Seifedine Kadry, Khaled EL-Tawil, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "A Novel SFEM Algorithm Using the Probabilistic Transformation Method." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2009: Volume 1 and Volume 2. AIP, 2009. http://dx.doi.org/10.1063/1.3241384.

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