Searching for authors named "Volker Tresp" – sorted by Relevance.
72 documents found, showing 1 through 10.
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Scaling Kernel-Based Systems to Large Data Sets
- … to Large Data Sets Volker Tresp Siemens AG, Corporate Technology Otto-Hahn-Ring 6, 81730 Munchen, Germany…
- Cited by 9 (2 self) – Add To MetaCart
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Mixtures of Gaussian processes
- …Mixtures of Gaussian Processes Volker Tresp Siemens AG, Corporate Technology, Department of Neural…
- Cited by 22 (0 self) – Add To MetaCart
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A Bayesian Committee Machine
- …Neural Computation, Vol. 12, pages 2719-2741, 2000 A Bayesian Committee Machine Volker Tresp…
- Cited by 50 (7 self) – Add To MetaCart
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Some Solutions to the Missing Feature Problem in Vision
- …@(email omitted); Volker Tresp Siemens AG, Central Research and Development ZFE ST SN41 Otto-Hahn Ring 6 8000 Mnchen 83…
- Cited by 46 (8 self) – Add To MetaCart
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A Nonlinear State Space Model for the Blood Glucose Metabolism of a Diabetic
- … Briegel and Volker Tresp The blood glucose metabolism of a diabetic is a complex nonlinear process closely…
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Transductive and Inductive Methods for Approximate Gaussian Process Regression
- …://www.igi.tugraz.at/aschwaig Volker Tresp 2 2 Siemens Corporate Technology CT IC4 Otto-Hahn-Ring 6, 81739 Munich, Germany http://www.tresp…
- Cited by 6 (0 self) – Add To MetaCart
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A Solution for Missing Data in Recurrent Neural Networks With an Application to Blood Glucose Prediction
- … Prediction Volker Tresp and Thomas Briegel # Siemens AG Corporate Technology Otto-Hahn-Ring 6 81730 M unchen…
- Cited by 3 (2 self) – Add To MetaCart
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Nonlinear Time-Series Prediction with Missing and Noisy Data
- …Nonlinear Time-Series Prediction with Missing and Noisy Data Volker Tresp and Reimar Hofmann…
- Cited by 6 (0 self) – Add To MetaCart
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Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
- … Inference and Learning in Nonlinear State Space Models Thomas Briegel and Volker Tresp Siemens AG…
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Discovering Structure in Continuous Variables Using Bayesian Networks
- …. Discovering Structure in Continuous Variables Using Bayesian Networks Reimar Hofmann and Volker Tresp…
- Cited by 15 (1 self) – Add To MetaCart
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