Geometric margin domain description with instance-specific margins
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Summary
A method of domain description of incomplete data without imputation is presented, and its applicability to reproductive kernel Hilbert spaces using the “kernel trick” is generalised to some times of kernel space.
- Type
- dissertation
- Published
- 2011-05-01
- Cited by
- 1
- References
- 82
- OpenAlex
- https://openalex.org/W75334977
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:37236331
Keywords
Imputation (statistics), Support vector machine, Computer science, Missing data, Data mining
References
- Computational Intelligence for Missing Data Imputation, Estimation, and Management - Knowledge Optimization Techniques
- Cluster Analysis. Sage University Paper Series On Quantitative Applications in the Social Sciences 07-044
- Selection Models for Nonignorable Missing Data
- Estimation of Dependences Based on Empirical Data
- Gamma-ray identification of nuclear weapon materials
- EDFCES: a new example-driven 3D face construction and editing system
- Handwritten digit recognition based on prototypes created by Euclidean distance
- A path algorithm for the support vector domain description and its application to medical imaging
- Robust kernel discriminant analysis and its application to feature extraction and recognition
- Adaptive local hyperplane classification
- Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
- INFERENCE AND MISSING DATA
- THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
- The connection between regularization operators and support vector kernels
- Processing and classification of protein mass spectra.
- A kernel optimization method based on the localized kernel Fisher criterion
- Learning a kernel matrix for nonlinear dimensionality reduction
- Reject inference, augmentation, and sample selection
- Kernel Whitening for One-Class Classification
- Price Imputation and Other Techniques for Dealing with Missing Observations, Seasonality and Quality Change in Price Indices
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