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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 34 for “"Renyi"”.
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Detection and Classification of Disturbances in Islanded Micro-grid
… are also tested and two of them – normilized Renyi entropy with signal energy and normalized Renyi entropy with distribution volume, are algorithms which have not been applied into the power system before. The results show that the disturbances created by using simulated data are successfully …
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Bounds on the Redundancy of Noiseless Source Coding
The Renyi redundancy, R(,s)(p,w), is the difference between the exponentially weighted average codeword length,
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Local Algorithms for Sparsification of Average-case Graphs
… by considering average-case graphs such as Erdos-Renyi random graphs and the Preferential Attachment model. We first present an LCA algorithm which, on an Erdos-Renyi graph input 𝐺 with edge parameter 𝑝 ≥ Ω(log(𝑛) 𝑛 ), gives fast access to a sparsification 𝐺′ of 𝐺, such that 𝐺′ is connected and …
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Neuroninių tinklų architektūros parinkimas /
… so called neural network. Kernel which maximize Renyi entropy is used too. Experimental results obtained using these models are promising.
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Vergleichende multiplikative Zahlentheorie
… von Littlewood, partielle Ergebnisse zum Shanks-Renyi-race-Problem sowie Aussagen ueber lokale Schwankungen in der Primzahlverteilung. Als Hilfsmittel fuehre ich einen neuen Begriff von Fastperiodizitaet ein. Im Laufe des Beweises berechne ich die k-ten Momente des Fehlergliedes des …
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ΣΥΜΒΟΛΗ ΣΤΗ ΣΤΑΤΙΣΤΙΚΗ ΘΕΩΡΙΑ ΠΛΗΡΟΦΟΡΙΩΝ
… MEASURES ARE THOSE OF FISHER, KULLBACK-LEIBLER, RENYI AND SHANNON. THE M.O.I. ARE FOUNDED BY THE PROPERTIES WHICH THEY SATISFY. SOME OF THEM HAVE AXIOMATIC ORIGINS WHILE OTHERS ARE OF OPERATIONAL CHARACTER IN THE SENSE THAT THERE ARE IMPORTANT STATISTICAL RESULTS INVOLVING M.O.I. THE THESIS IS …
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Perturbation theory for the topological pressure in analytic dynamical systems
… spectra, Lyapunov exponents, escape rates and Renyi entropies inherit the real-analyticity in ~ from (I,M).
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Two New Classes of Generalized Modified Weibull Distributions with Application to Lifetime Data
… are presented. For the GEMW, we also present Renyi entropy, estimation of parameters by using method of maximum likelihood, asymptotic confidence intervals and applications using real data.</p>
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Improving the output of algorithms for large-scale approximate graph matching
… correct correspondence between two Erdos-Renyi graphs as input, we show that our algorithm can correct all errors with high probability. Furthermore, when applied to real-world social networks, we empirically demonstrate that our algorithm can perform graph matching accurately, even …
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Laboratory investigations of heterogeneous chemistry important to ozone depletion in the stratosphere
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 1994.
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Robustness of complex networks to global perturbations
… by Watts-Strogatz small-world networks and Erdos-Renyi random graphs, and then Barabasi-Albert scalefree networks are least robust among the four topologies tested. Fully connected networks used in May’s original work are found to be consistently unstable in the presence of global perturbation of …
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Scaling of entanglement entropy in some condensed matter systems
… phase transition point, the fluctuations of the Renyi entropies are non-Gaussian. We find that Renyi entropies with different Renyi index transition into the MBL phase at different points and have different scaling behavior, suggesting a multifractal behavior. In chapter 4, we study the universal …
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A theory of (almost) zero resource speech recognition
… the cluster assignment probabilities with a Renyi entropy prior, is shown to provably minimize the generalization error of any probabilistic model (e.g. HMMs). The second part examines application-specific loss functions such as cluster purity and perplexity. Empirical results on a variety of …
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Netzwerkmodelle der Relaxations- und Reaktionsdynamik ungeordneter Systeme
… durch den <br>Zufallsgraphen von Erdös und Renyi gegeben. <br>Besonders interessant war jedoch, dass unsere Methode <br>auch auf sogenannte Small-World und skalenfreie Netzwerke, <br>die beide in jüngster Zeit <br>viel Aufmerksamkeit erregt haben, angewendet werden konnte.
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A controlled sensing approach to graph classification
… the graph. Simulations are provided for an Erdos-Renyi graph to show the trade-off between sample size and classification performance and show that the proposed algorithm outperforms a random walk-based technique.
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Average-case complexity of detecting cliques
… Such random graphs (the well-studied Erdos-Renyi random graphs) are widely believed to be a source of computationally hard instances for clique problems (as Karp suggested in 1976). Our results are the first unconditional lower bounds supporting this hypothesis. For bounded-depth Boolean …
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On defect CFT and path integral methods for entanglement in quantum field theories
… controls the second order shape dependence of Renyi entropy. We introduce defect CFT methods for calculating correlation functions involving the modular Hamiltonian together with probe operators inserted at lightcone separation. We use these methods to further calculate correlation functions …
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Using information theoretic measures to evaluate support vector machine kernels
… product on some Hilbert space. Estimators of Renyi's generalized form of information theoretic measurements reduce to a form that gives an elegant characterization of the geometric properties of the kernel in the feature space. It is shown how these estimators can be used to evaluate the …
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A study of local approximations in information theory
… ribbon at infinity and the Hirschfeld-Gebelein-Renyi maximal correlation with each other. We derive such bounds for the discrete and finite, as well as the Gaussian regimes. An application of the local approximation technique is in understanding the large deviation behavior of sources and …
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Scalable learning for geostatistics and speaker recognition
… for this problem. We proposed a kernelized Renyi distance based similarity scoring for speaker recognition. While its performance is promising, it does not generalize well for limited training data and therefore does not compare well to state-of-the-art recognition systems. These systems …
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