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Classification Experiments with Vector Space Embedded Graphs
https://doi.org/10.1142/9789814304726_0007Cited by:0 (Source: Crossref)
Abstract:
The following sections are included:
Nearest-Neighbor Classifiers Applied to Vector Space Embedded Graphs
Support Vector Machines Applied to Vector Space Embedded Graphs
Prototype Selection
Experimental Setup and Validation of the Meta Parameters
Results and Discussion
Prototype Reduction Schemes
Experimental Setup and Validation of the Meta Parameters
Results and Discussion
Feature Selection and Dimensionality Reduction
Experimental Setup and Validation of the Meta Parameters
Results and Discussion
Lipschitz Embeddings
Experimental Setup and Validation of the Meta Parameters
Results and Discussion
Ensemble Methods
Experimental Setup and Validation of the Meta Parameters
Results and Discussion
Summary and Discussion
