A new metric for dissimilarity data classification based on Support Vector Machines optimization.
Agata ManolovaAnne Guérin-DuguéPublished in: ESANN (2013)
Keyphrases
- support vector
- classification accuracy
- training data
- data analysis
- data collection
- generalization ability
- data sets
- data sources
- support vector machine
- feature selection
- supervised learning
- data processing
- data quality
- data structure
- cross validation
- loss function
- missing values
- distance metric
- knowledge discovery
- input space
- training dataset
- high dimensional data
- training samples
- data points
- feature vectors
- feature space
- feature extraction
- learning algorithm
- neural network