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Dissertations / Theses on the topic 'Maximum entropy'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Sognnæs, Ida Andrea Braathen. "Maximum Entropy and Maximum Entropy Production in Macroecology." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for fysikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-12651.

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The Maximum Entropy Theory of Ecology (METE), developed by John Harte, presents an entirely new method of making inferences in ecology. The method is based on the established mathematical procedure of Maximum Information Entropy (MaxEnt), developed by Edwin T. Jaynes, and is used to derive a range of important relationships in macroecology. The Maximum Entropy Production (MEP) principle is a more recent theory. This principle was used by Paltridge to successfully predict the climate on Earth in 1975. It has been suggested that this principle can be used for predicting the evolution of ecosyst

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2

Charter, Mark Keith. "Maximum entropy pharmacokinetics." Thesis, University of Cambridge, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316691.

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Patterson, Brett Alexander. "Maximum entropy data analysis." Thesis, University of Cambridge, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240969.

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4

Xie, Yong. "Maximum entropy in crystallography." Thesis, De Montfort University, 2003. http://hdl.handle.net/2086/4220.

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5

Purahoo, K. "Maximum entropy data analysis." Thesis, Cranfield University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260038.

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6

Robinson, David Richard Terence. "Developments in maximum entropy data analysis." Thesis, University of Cambridge, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307063.

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7

McLean, Andrew Lister. "Applications of maximum entropy data analysis." Thesis, University of Southampton, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319161.

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8

Sears, Timothy Dean, and tim sears@biogreenoil com. "Generalized Maximum Entropy, Convexity and Machine Learning." The Australian National University. Research School of Information Sciences and Engineering, 2008. http://thesis.anu.edu.au./public/adt-ANU20090525.210315.

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This thesis identiﬁes and extends techniques that can be linked to the principle of maximum entropy (maxent) and applied to parameter estimation in machine learning and statistics. Entropy functions based on deformed logarithms are used to construct Bregman divergences, and together these represent a generalization of relative entropy. The framework is analyzed using convex analysis to charac- terize generalized forms of exponential family distributions. Various connections to the existing machine learning literature are discussed and the techniques are applied to the problem of non-neg

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9

Oliveira, V. A. "Maximum entropy image restoration in nuclear medicine." Thesis, University of Southampton, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235282.

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10

Касьянов, Володимир, and Андрій Гончаренко. "SUBJECTIVE ENTROPY MAXIMUM PRINCIPLE AND ITS APPLICATIONS." Thesis, Національний авіаційний університет, 2017. https://er.nau.edu.ua/handle/NAU/48996.

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Касьянов, Володимир, and Андрій Гончаренко. "SUBJECTIVE ENTROPY MAXIMUM PRINCIPLE AND ITS APPLICATIONS." Thesis, Національний авіаційний університет, 2017. http://er.nau.edu.ua/handle/NAU/30676.

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12

Fellman, Laura Suzanne. "The Genetic Algorithm and Maximum Entropy Dice." PDXScholar, 1996. https://pdxscholar.library.pdx.edu/open_access_etds/5247.

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The Brandeis dice problem, originally introduced in 1962 by Jaynes as an illustration of the principle of maximum entropy, was solved using the genetic algorithm, and the resulting solution was compared with that obtained analytically. The effect of varying the genetic algorithm parameters was observed, and the optimum values for population size, mutation rate, and mutation interval were determined for this problem. The optimum genetic algorithm program was then compared to a completely random method of search and optimization. Finally, the genetic algorithm approach was extended to several va

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13

Thomaz, Carlos Eduardo. "Maximum entropy covariance estimate for statistical pattern recognition." Thesis, Imperial College London, 2004. http://hdl.handle.net/10044/1/8755.

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14

Chan, Oscar. "Prosodic features for a maximum entropy language model." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0244.

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A statistical language model attempts to characterise the patterns present in a natural language as a probability distribution defined over word sequences. Typically, they are trained using word co-occurrence statistics from a large sample of text. In some language modelling applications, such as automatic speech recognition (ASR), the availability of acoustic data provides an additional source of knowledge. This contains, amongst other things, the melodic and rhythmic aspects of speech referred to as prosody. Although prosody has been found to be an important factor in human speech recognitio

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15

Battle, David John. "Maximum Entropy Regularisation Applied to Ultrasonic Image Reconstruction." University of Sydney. Electrical Engineering, 1999. http://hdl.handle.net/2123/842.

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Image reconstruction, in common with many other inverse problems, is often mathematically ill-posed in the sense that solutions are neither stable nor unique. Ultrasonic image reconstruction is particularly notorious in this regard, with narrow transducer bandwidths and limited - sometimes sparsely sampled apertures posing formidable difficulties for conventional signal processing. To overcome these difficulties, some form of regularisation is mandatory, whereby the ill-posed problem is restated as a closely related, well-posed problem, and then solved uniquely. This thesis explore

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16

Yang, Yongsheng. "A maximum entropy approach to Chinese language parsing /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?COMP%202002%20YANG.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2002.<br>Includes bibliographical references (leaves 54-55). Also available in electronic version. Access restricted to campus users.

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17

Wu, Jun. "Maximum entropy language modeling with non-local dependencies." Available to US Hopkins community, 2002. http://wwwlib.umi.com/dissertations/dlnow/3068231.

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18

Whiting, Peter Mark. "Reflection traveltime tomography and the maximum entropy principle." Thesis, The University of Sydney, 1993. https://hdl.handle.net/2123/26623.

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Conventional reﬂection tomography creates an estimate of subsurface seismic velocity structure by inverting a set of seismic traveltime data. This is achieved by solving a least-squares optimisation problem that ﬁnds the velocity and depth model that minimises the difference between raytraced and measured traveltimes. Obtaining the traveltime data can be difﬁcult as manual picking of reﬂection times is required and all picked reﬂection events must be associated with the reﬂector depths deﬁned in the model. Even with good traveltime data the optimisation problem is very non-linear and the surfa

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19

Sagarra, Pascual Oleguer Josep. "Non-binary maximum entropy network ensembles and their application to the study of urban mobility." Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/400560.

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Complex networks grow subject to structural constraints which affect their measurable properties. Assessing the effect that such constraints impose on their observables is thus a crucial aspect to be taken into account in their analysis, if one wants to quantify the effect a given topological property has on other observed network quantities observed in empirical datasets. Null models are needed for this end. A well understood analytical approach to face the generation and development of flexible models for binary networks is based on considering ensembles of networks obtained using an entr

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20

Uchimoto, Kiyotaka. "Maximum Entropy Models for Japanese Text Analysis and Generation." 京都大学 (Kyoto University), 2004. http://hdl.handle.net/2433/147595.

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21

Tahmasbi, Mohammad Saeed. "VLSI implementation of heart sounds maximum entropy spectral estimation /." Title page, contents and summary only, 1994. http://web4.library.adelaide.edu.au/theses/09ENS/09enst128.pdf.

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22

Hughes, Leslie Peter. "Maximum entropy methods applied to NMR and mass spectrometry." Thesis, Durham University, 2001. http://etheses.dur.ac.uk/3785/.

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Maximum Entropy data processing techniques have been widely available for use by NMR spectroscopisis and mass spectrometrisls since they were first reported as a tool for enhancing damaged images. However, the techniques have been met with a certain amount of scepticism amongst the spectroscopic community; not least their apparent ability to get something for nothing. The aim of the work presented in this thesis is to demonstrate that if these techniques are used carefully and in appropriate situations a great deal of information can be extracted from both NMR and mass spectra. This has been a

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23

McGrath, Deirdre Maria. "Maximum entropy deconvolution of low count nuclear medicine images." Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285623.

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24

Bourne, Rachel Anne. "Default reasoning using maximum entropy and variable strength defaults." Thesis, Queen Mary, University of London, 1999. http://qmro.qmul.ac.uk/xmlui/handle/123456789/3808.

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The thesis presents a computational model for reasoning with partial information which uses default rules or information about what normally happens. The idea is to provide a means of filling the gaps in an incomplete world view with the most plausible assumptions while allowing for the retraction of conclusions should they subsequently turn out to be incorrect. The model can be used both to reason from a given knowledge base of default rules, and to aid in the construction of such knowledge bases by allowing their designer to compare the consequences of his design with his own default assumpt

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25

Guo, Weiyu. "Implementing the principle of maximum entropy in option pricing /." free to MU campus, to others for purchase, 1999. http://wwwlib.umi.com/cr/mo/fullcit?p9946259.

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26

Rama, Ritesh Rao. "Local maximum entropy approximation-based modelling of the canine heart." Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/16963.

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Local Maximum Entropy (LME) method is an approximation technique which has been known to have good approximation characteristics. This is due to its non-negative shape functions and the weak Kronecker delta property which allow the solutions to be continuous and smooth as compared to the Moving Least Square method (MLS) which is used in the Element Free Galerkin method (EFG). The method is based on a convex optimisation scheme where a non-linear equation is solved with the help of a Newton algorithm, implemented in an in-house code called SESKA. In this study, the aim is to compare LME and MLS

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27

Wu, Nailong. "The maximum entropy method and its application in radio astronomy." Thesis, The University of Sydney, 1985. https://hdl.handle.net/2123/27440.

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This thesis consists of seven chapters, two appendices and a bibliography. In addition, three publications are included. The first digit in the page numbers refers to the chapter or appendix, and the second one or two digits are the serial numbers of the page in the chapter or appendix. For equations, figures and tables, the first digit and the second one or two digits refer respectively to the chapter and section; the third one or two digits refer to its serial occurrence in the chapter. The references in the bibliography are listed in alphabetical order by the author. Mathematical symbols ar

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28

Armstrong, Nicholas. "Application of the maximum entropy method to x-ray profile analysis /." Electronic version, 1999. http://adt.lib.uts.edu.au/public/adt-NTSM20031204.135221/index.html.

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29

Hofmann, Bernd, and Romy Krämer. "Maximum entropy regularization for calibrating a time-dependent volatility function." Universitätsbibliothek Chemnitz, 2004. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200401213.

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We investigate the applicability of the method of maximum entropy regularization (MER) including convergence and convergence rates of regularized solutions to the specific inverse problem (SIP) of calibrating a purely time-dependent volatility function. In this context, we extend the results of [16] and [17] in some details. Due to the explicit structure of the forward operator based on a generalized Black-Scholes formula the ill-posedness character of the nonlinear inverse problem (SIP) can be verified. Numerical case studies illustrate the chances and limitations of (MER) versus Tikhonov reg

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30

Padró, Muntsa, and Lluís Padró. "ME-CSSR : an extension of CSSR using maximum entropy models." Universität Potsdam, 2008. http://opus.kobv.de/ubp/volltexte/2008/2721/.

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31

Bury, Thomas. "Collective behaviours in the stock market: a maximum entropy approach." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209341.

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Scale invariance, collective behaviours and structural reorganization are crucial for portfolio management (portfolio composition, hedging, alternative definition of risk, etc.). This lack of any characteristic scale and such elaborated behaviours find their origin in the theory of complex systems. There are several mechanisms which generate scale invariance but maximum entropy models are able to explain both scale invariance and collective behaviours.<p>The study of the structure and collective modes of financial markets attracts more and more attention. It has been shown that some agent base

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32

Kontonasios, Kleanthis-Nikolaos. "Maximum entropy modelling for quantifying unexpectedness of data mining results." Thesis, University of Bristol, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618550.

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This thesis is concerned with the problem of finding subjectively interesting patterns in data. The focus is restricted to the most prominent notion of subjective interestingness, namely the unexpectedness of a pattern. A pattern is considered unexpected if it contradicts the user's prior knowledge or beliefs about the data. Recently, a general information-theoretic framework for data. mining that naturally incorporates unexpectedness was devised. The proposed approach relics on: 1. the Maximum Entropy principle for encoding the user's prior knowledge about the data or the patterns, 2. the Inf

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33

Allen, Paul Nicholas. "The quantification of SIMS depth profiles by Maximum Entropy reconstruction." Thesis, University of Warwick, 1994. http://wrap.warwick.ac.uk/3849/.

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The quantification procedures applied to raw SIMS data were devised on the basis of a simple model for the sputtering and ionisation that occur during measurement. The model and the associated quantification procedures have long been known to be inaccurate. If SIMS is to remain a useful analysis tool in the future, the quantification procedures must be adjusted such that current features of interest are accurately measured. This thesis describes the development of a more accurate (though empirical) model for the effects of the analysis, using the convolution integral. We propose a method for t

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34

Pascale, Salvatore. "Maximum entropy production as a constraint on the climate system." Thesis, University of Reading, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541950.

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35

Clowser, Jonathan. "Application of the maximum entropy method to dynamical fermion simulations." Thesis, Swansea University, 2002. https://cronfa.swan.ac.uk/Record/cronfa42282.

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This thesis presents results for spectral functions extracted from imaginary-time correlation functions obtained from Monte Carlo simulations using the Maximum Entropy Method (MEM). The advantages this method are (i) no a priori assumptions or parametrisations of the spectral function are needed, (ii) a unique solution exists and (iii) the statistical significance of the resulting image can be quantitatively analysed. The Gross Neveu model in d = 3 spacetime dimensions (GNM3) is a particularly interesting model to study with the MEM because at T = 0 it has a broken phase with a rich spectrum o

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Camiola, Vito Dario. "Subbands model for semiconductors based on the Maximum Entropy Principle." Doctoral thesis, Università di Catania, 2013. http://hdl.handle.net/10761/1313.

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In this thesis a double-gate MOSFET is simulated with an energy-transport subband model and an energy-transport model is derived for a nanoscale MOSFET. Regarding the double-gate MOSFET the model is formulated starting from the moment system derived from the Schroedinger-Poisson-Boltzmann equations. The system is closed on the basis of the maximum entropy principle and includes scattering of electrons with acoustic and non-polar optical phonons. The proposed expression of the entropy combines quantum effects and semiclassical transport by weighting the contribution of each sub band with the

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37

Paramahamsan, Harinarayan. "Fundamental properties of Synthetic O-D Generation Formulations and Solutions." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/31143.

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Origin-Destination (O-D) matrices are required in order to model traffic routing behavior in networks. Direct techniques for collecting O-D information from home and roadside interviews have historically been utilized to estimate O-D tables. However, these techniques are not only very costly, labor intensive, and disruptive to trip makers, but traditionally also do not capture traffic peaking behavior, which is often required for traffic operational purposes. Consequently, more cost-effective indirect or synthetic O-D estimation techniques have been developed, and continue to be developed. The

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38

Ziebart, Brian D. "Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy." Research Showcase @ CMU, 2010. http://repository.cmu.edu/dissertations/17.

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Predicting human behavior from a small amount of training examples is a challenging machine learning problem. In this thesis, we introduce the principle of maximum causal entropy, a general technique for applying information theory to decision-theoretic, game-theoretic, and control settings where relevant information is sequentially revealed over time. This approach guarantees decision-theoretic performance by matching purposeful measures of behavior (Abbeel & Ng, 2004), and/or enforces game-theoretic rationality constraints (Aumann, 1974), while otherwise being as uncertain as possible, which

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Tate, Graeme. "New methods in protein X-ray crystallography using maximum entropy techniques." Thesis, University of Glasgow, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396507.

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40

Mattar, Essam Hussain. "Clinical application of maximum entropy image processing in planar radionuclide imaging." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323955.

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41

Johnson, Jason K. (Jason Kyle). "Convex relaxation methods for graphical models : Lagrangian and maximum entropy approaches." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45871.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.<br>Includes bibliographical references (p. 241-257).<br>Graphical models provide compact representations of complex probability distributions of many random variables through a collection of potential functions defined on small subsets of these variables. This representation is defined with respect to a graph in which nodes represent random variables and edges represent the interactions among those random variables. Graphical models provide a powerful and flexible approach to man

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42

Benjamin, Ryan Lester. "Non-maximum entropy polymer elasticity, viscoelasticity and the lattice Boltzmann method." Doctoral thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/10126.

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Includes abstract.<br>Includes bibliographical references (p. 291-303).<br>Various models of viscoelasticity exist based on continuum mechanics. In this work a statistical mechanical approach is taken to derive a new isotropic, hyperelastic, viscoelastic, incompressible constitutive equation for polymers. The result has been achieved by generating a novel physics for the microscopic behaviour of polymers. A vocabulary has been created to facilitate the physics. A new differential equation describing polymer behaviour is derived based on the mathematical description of the physics.

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43

Broqvist, Widham Emil. "Scaling up Maximum Entropy Deep Inverse Reinforcement Learning with Transfer Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281796.

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In this thesis an issue with common inverse reinforcement learning algorithms is identified, which causes them to be computationally heavy. A solution is proposed which attempts to address this issue and which can be built upon in the future. The complexity of inverse reinforcement algorithms is increased because at each iteration something called a reinforcement learning step is performed to evaluate the result of the previous iteration and guide future learning. This step is slow to perform for problems with large state spaces and where many iterations are required. It has been observed that

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44

Kendall, Elizabeth Ann Caughey Thomas Kirk. "Range dependent signals and maximum entropy methods for underwater acoustic tomography /." Diss., Pasadena, Calif. : California Institute of Technology, 1985. http://resolver.caltech.edu/CaltechETD:etd-04092008-080843.

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Graser, David Jay. "Image restoration and enhancement by closed form positively constrained maximum entropy." Diss., The University of Arizona, 2000. http://hdl.handle.net/10150/289224.

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This dissertation is concerned with an image processing algorithm that performs image enhancement and restoration. Closed form maximum entropy filtering will be derived from its foundations in classical Wiener filtering and maximum entropy theory. Ad hoc variations of Wiener filtering will be introduced and discussed in terms of information density. The language of information density will be used to examine the entropy filter and its merits. These merits will be demonstrated through a series of numerical simulations of real and artificial astronomical objects. The results of these simulations

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46

Okafor, Anthony. "Entropy based techniques with applications in data mining." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0013113.

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LeBlanc, Raymond. "The maximum entropy principle as a basis for statistical models in epidemiology /." Thesis, McGill University, 1990. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=74600.

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We propose an approach for the construction of statistical models based on the maximum entropy principle in conjunction with a constructive method relying on a precise description of the individual contribution of each possible unit of observation of the population. This procedure is applied to the analysis of 2 x 2 tables, ubiquitous in biostatistics. This approach provides a new perspective and understanding of the fundamental nature of logistic regression, of Cox's proportional hazard model and of the noncentral hypergeometric model. Application of this method to analyse the odds ratio prod

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Kane, Thomas Brett. "Reasoning with uncertainty using Nilsson's probabilistic logic and the maximum entropy formalism." Thesis, Heriot-Watt University, 1992. http://hdl.handle.net/10399/789.

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Feng, Jianping. "Semi-supervised CONTRAfold for RNA Secondary Structure Prediction: A Maximum Entropy Approach." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1316225523.

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Macedo, Pedro Filipe Pessoa. "Contributions to the theory of maximum entropy estimation for ill-posed models." Doctoral thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/11048.

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Doutoramento em Matemática<br>As técnicas estatísticas são fundamentais em ciência e a análise de regressão linear é, quiçá, uma das metodologias mais usadas. É bem conhecido da literatura que, sob determinadas condições, a regressão linear é uma ferramenta estatística poderosíssima. Infelizmente, na prática, algumas dessas condições raramente são satisfeitas e os modelos de regressão tornam-se mal-postos, inviabilizando, assim, a aplicação dos tradicionais métodos de estimação. Este trabalho apresenta algumas contribuições para a teoria de máxima entropia na estimação de modelos mal-po

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