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Publications by P. Sollich

Probabilistic Interpretations and Bayesian Methods for Support Vector Machines

1999English

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On Bayesian Inference, Maximum Entropy and Support Vector Machines Methods

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Speeding Up Support Vector Machines - Probabilistic Versus Nearest Neighbour Methods for Condensing Training Data

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Support Vector Machines for Spam Categorization

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Combining Pixel-Based and Object-Oriented Support Vector Machines Using Bayesian Probability Theory

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Support Vector Machines for Polycategorical Classification

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Support Vector Machines for Unbalanced Multicategory Classification

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Wavelets and Support Vector Machines for Texture Classification

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Stock Market Trend Prediction Using Support Vector Machines and Variable Selection Methods

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