Malware Detection Using Gradient Boosting Decision Trees with Customized Log Loss Function.
Yun GaoHirokazu HasegawaYukiko YamaguchiHajime ShimadaPublished in: ICOIN (2021)
Keyphrases
- inductive logic programming
- loss function
- gradient boosting
- malware detection
- decision trees
- machine learning
- logistic regression
- anomaly detection
- pairwise
- naive bayes
- support vector
- random forests
- training set
- random forest
- data mining
- decision rules
- ensemble methods
- reproducing kernel hilbert space
- training data
- model selection
- machine learning algorithms
- object recognition