Pages that link to "Item:Q1859606"
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The following pages link to Statistical learning theory: A primer (Q1859606):
Displaying 19 items.
- Radial basis function regularization for linear inverse problems with random noise (Q391523) (← links)
- Rethinking statistical learning theory: learning using statistical invariants (Q669285) (← links)
- On selection of kernel parametes in relevance vector machines for hydrologic applications (Q732723) (← links)
- New approaches to statistical learning theory (Q1881402) (← links)
- An e-E-insensitive support vector regression machine (Q2259798) (← links)
- The new interpretation of support vector machines on statistical learning theory (Q2379242) (← links)
- Aspects of discrete mathematics and probability in the theory of machine learning (Q2478432) (← links)
- On the mathematical foundations of learning (Q2761194) (← links)
- Risk minimization and minimum description for linear discriminant functions (Q2901014) (← links)
- Effective Active Learning Strategies for the Use of Large-Margin Classifiers in Semantic Annotation: An Optimal Parameter Discovery Perspective (Q2940534) (← links)
- Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data (Q3556804) (← links)
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- Parallel learning -- a new framework for machine learning (Q5367546) (← links)
- Advanced Lectures on Machine Learning (Q5424899) (← links)
- Advanced Lectures on Machine Learning (Q5424900) (← links)
- Contraction analysis of non-linear distributed systems (Q5707968) (← links)
- Regularization and statistical learning theory for data analysis. (Q5958474) (← links)
- Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning (Q6104512) (← links)
