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Your search keyword '"Bayesian statistical decision theory -- Usage"' showing total 28 results

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28 results on '"Bayesian statistical decision theory -- Usage"'

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1. Multiclass relevance vector machines: sparsity and accuracy

2. Marginalized neural network mixtures for large-scale regression

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3. Inference from aging information

4. The infinite hidden Markov random field model

5. Simplifying mixture models through function approximation

6. Recursive Bayesian recurrent neural networks for time-series modeling

7. A multiobjective simultaneous learning framework for clustering and classification

10. The Bayesian ARTMAP

11. Markov and semi-Markov switching of source appearances for nonstationary independent component analysis

12. Unsupervised learning of Gaussian mixtures based on variational component splitting

13. Distribution modeling of nonlinear inverse controllers under a Bayesian framework

14. Posterior probability support vector machines for unbalanced data

15. Extracting semantics from audiovisual content: the final frontier in multimedia retrieval

16. Minimizing risk using prediction uncertainty in neural network estimation fusion and its application to papermaking

17. Bayesian retrieval in associative memories with storage errors

18. Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates

19. A review of Bayesian neural networks with an application to near infrared spectroscopy

20. A clustering technique for digital communications channel equalization using radial basis function networks

21. Pricing and Hedging Derivative Securities with Neural Networks: Bayesian Regularization, Early Stopping, and Bagging

22. Multiresolution Forecasting for Futures Trading Using Wavelet Decompositions

23. Modeling Exchange Rates: Smooth Transitions, Neural Networks, and Linear Models

24. General Statistical Inference for Discrete and Mixed Spaces By an Approximate Application of the Maximum Entropy Principle

25. Bayesian Nonlinear Model Selection and Neural Networks: A Conjugate Prior Approach

26. The Application of Neural Networks to the Papermaking Industry

27. Bayesian Approach to Neural-Network Modeling with Input Uncertainty

28. A tight bound on concept learning