Global ETD Search
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 8 of 8 for “"Renyi Entropy"”.
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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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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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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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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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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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Quantum Algorithms for Matrix Problems and Machine Learning
… functions to the problem of estimating the Renyi entropy of an unknown quantum state. We combine matrix function techniques with mixed state quantum computation in the one-clean qubit model, and are able to bound of the expected runtime of our algorithm in terms of the unknown target …
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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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Predictive Alternatives in Bayesian Model Selection
Model comparison and hypothesis testing is an integral part of all data analyses. In this thesis, I present two new families of information criteria that can be used to perform model comparison. In Chapter 1, I review the necessary background to motivate the thesis. Of particular interest is the …