FastBDT: A speed-optimized and cache-friendly implementation of stochastic gradient-boosted decision trees for multivariate classification.
Thomas KeckPublished in: CoRR (2016)
Keyphrases
- stochastic gradient
- nearest neighbor classifier
- boosted decision trees
- logistic regression models
- feature extraction
- feature vectors
- text classification
- machine learning
- decision trees
- classification accuracy
- support vector machine
- data mining
- grassmann manifold
- benchmark datasets
- machine learning algorithms
- feature space
- support vector
- data sets
- machine learning methods
- feature set