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An efficient algorithm to compute maximum entropy densities - EconBiz
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Dirk Ormoneit ; Halbert White. Year of publication: Authors: Ormoneit, Dirk; White, Halbert: Published in: Econometric reviews. - Philadelphia ...
Dirk Ormoneit | XanEdu Customization Platform
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Author: Dirk Ormoneit. Results. Kernel-Based Reinforcement Learning Springer Science+Business Media By: Dirk Ormoneit; Śaunak Sen;.
Kernel-based Reinforcement Learning - Dirk Ormoneit, Saunak Sen -...
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Kernel-based Reinforcement Learning. Front Cover. Dirk Ormoneit, Saunak Sen. Department of Statistics, Stanford University, pages. 0 Reviews ...
Advances in Neural Information Processing Systems 12: Proceedings of...
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Preliminary experiments using a localized variant of kernel shaping did not lead to significant performance improvements in our experiments. Acknowledgments The work of Dirk Ormoneit was supported by a grant of the Deutsche Forschungsge- meinschaft (DFG) as part of its post-doctoral program. Trevor Hastie was ...
Advances in Neural Information Processing Systems: Proceedings of the...
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Probabilistic. Abstraction. Hierarchies. Eran Segal Computer Science Dept. Stanford University eran@cs. Stanford, edu Daphne Roller Computer Science Dept. Stanford University ko ller@cs. Stanford, edu Dirk Ormoneit Computer Science Dept. Stanford University ormoneit@cs. Stanford, edu ...
Advances in Neural Information Processing Systems 12: ...
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for. Local. Linear. Regression. Dirk Ormoneit Trevor Hastie Department of Statistics Stanford University Stanford, CA edu ...
A Combined Parametric and Nonparametric Approach to Time Series...
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[Orm98] Dirk Ormoneit. Probaiolity Estimating Neural Networks. PhD thesis, Department of Computer Science, Chair Prof. Dr. Dr. h.c. Brauer, Munich University ...
Advances in Bayesian Networks - Google Books
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In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within...
Computer Vision - ECCV 2000: 6th European Conference on Computer...
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The two-volume set LNCS constitutes the refereed proceedings of the 6th European Conference on Computer Vision, ECCV 2000, held in Dublin, Ireland in...
Consistency and Convergence Rate of Markov Chain Quasi Monte Carlo...
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By Theorem 2 of Peter Glynn and Dirk Ormoneit (2002 [12]), we have the following Hoeffding's inequality: Pri. (Zfa) — E (iron) 2 g exp (5.1.6) and by plugging —f ...
Monte Carlo and Quasi-Monte Carlo Sampling - Christiane Lemieux -...
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Quasi-Monte Carlo methods have become an increasingly popular alternative to Monte Carlo methods over the last two decades. Their successful implementation on...
An Efficient Algorithm to Compute Maximum Entropy Densities - Dirk...
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An Efficient Algorithm to Compute Maximum Entropy Densities. Front Cover. Dirk Ormoneit, Halbert White. TUM, Techn. Univ. München, Inst. für Informatik,
Improved Gaussian Mixture Density Estimates Using Bayesian Penalty...
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Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging. Front Cover. Dirk Ormoneit, Volker Tresp.
Optimal Kernel Shapes for Local Linear Regression - Dirk Ormoneit,...
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Optimal Kernel Shapes for Local Linear Regression. Front Cover. Dirk Ormoneit, Trevor Hastie. Department of Statistics, Stanford University, pages.
Probability Estimating Neural Networks - Dirk Ormoneit - Google Books
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Dirk Ormoneit. Shaker Verlag, pages. 0 Reviewshttp://books.google.com/books/about/Probability_Estimating_Neural_Networks.html?id= ...
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