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Bayesian Mean Field Algorithms for Neural Networks and Gaussian Processes

by Ole Winther , 1998
"... The subject of this thesis is the derivation and study of Bayesian mean field learning algorithms for feed-forward neural networks and Gaussian processes. In Bayes learning our posterior beliefs -- based upon our a priori knowledge and past observations -- are expressed as probabilities. Making pred ..."
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The subject of this thesis is the derivation and study of Bayesian mean field learning algorithms for feed-forward neural networks and Gaussian processes. In Bayes learning our posterior beliefs -- based upon our a priori knowledge and past observations -- are expressed as probabilities. Making

Classification of Lithofacies Boundaries Using the KTB Borehole Data: A Bayesian Neural Network Modeling

by Saumen Maiti, Ram Krishna Tiwari
"... A novel approach based on the concept of Bayesian neural network learning theory is developed and applied to German Continental Deep Drilling Program (KTB) well log signal for classification of lithofacies boundaries. We parameterized different combination of synthetic model to match with the publis ..."
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A novel approach based on the concept of Bayesian neural network learning theory is developed and applied to German Continental Deep Drilling Program (KTB) well log signal for classification of lithofacies boundaries. We parameterized different combination of synthetic model to match

von

by Mathematisch-naturwissenschaftlichen Fakultät, Stefan Lange, Prof Dr, Jan-hendrik Olbertz, Prof Dr, Elmar Kulke
"... eingereicht an der ..."
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eingereicht an der

unknown title

by Thèse De, L'université De Lyon, Délivrée Par, Bernard Lyon, École Doctorale Infomaths, Diplôme De Doctorat, Mme Anne-laure Fougères, Mme Anne-laure Fougères, Mme Clémentine Prieur, M. Stéphane Robin, M. Éric Sauquet
"... Anne SABOURIN Mélanges bayésiens de modèles d'extrêmes multivariés, Application à la prédétermination régionale des crues avec données incomplètes. Sous la direction de: ..."
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Anne SABOURIN Mélanges bayésiens de modèles d'extrêmes multivariés, Application à la prédétermination régionale des crues avec données incomplètes. Sous la direction de:

unknown title

by unknown authors
"... ..."
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unknown title

by unknown authors
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Active Mask Framework for Segmentation of Fluorescence Microscope Images

by Gowri Srinivasa, Advisor Prof, Prof Matthew, C. Fickus, Prof Adam, D. Linstedt, Prof Robert, F. Murphy
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
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m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol

Subspace Communication

by Josep Font-segura, Prof Gregori , 2014
"... We are surrounded by electronic devices that take advantage of wireless technologies, from our computer mice, which require little amounts of information, to our cellphones, which demand increasingly higher data rates. Until today, the coexistence of such a variety of services has been guaranteed by ..."
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We are surrounded by electronic devices that take advantage of wireless technologies, from our computer mice, which require little amounts of information, to our cellphones, which demand increasingly higher data rates. Until today, the coexistence of such a variety of services has been guaranteed

3esis Supervisor Accepted by

by Audio-based Localisation, Benjamin Christopher Dalton, V. Michael, Benjamin Christopher Dalton , 2005
"... in partial ful2llment of the requirements for the degree of ..."
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in partial ful2llment of the requirements for the degree of

© Institute of Mathematical Statistics, 2012 Statistical Modeling of Spatial Extremes1

by A. C. Davison, S. A. Padoan, M. Ribatet
"... Abstract. The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal rainfall is crucial in flood protection. This ar-ticle reviews recent progress in the statistical modeling of spatial e ..."
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on rain-fall in Switzerland. Whereas latent variable modeling allows a better fit to marginal distributions, it fits the joint distributions of extremes poorly, so appropriately-chosen copula or max-stable models seem essential for suc-cessful spatial modeling of extremes.
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