The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its Parts.
James LargeJason LinesAnthony J. BagnallPublished in: CoRR (2017)
Keyphrases
- support vector machine
- classification algorithm
- support vector machine svm
- support vector
- machine learning
- decision trees
- training data
- feature space
- feature ranking
- benchmark datasets
- computationally efficient
- learning algorithm
- machine learning algorithms
- optimization problems
- computational cost
- training set
- training samples
- classification accuracy
- class labels
- pattern recognition
- machine learning methods
- data reduction
- nearest neighbour
- objective function
- terms of classification accuracy