Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-Based Machine Learning.
Lixue ChengNikola B. KovachkiMatthew WelbornThomas F. Miller IIIPublished in: CoRR (2019)
Keyphrases
- improved accuracy
- machine learning
- structural svms
- supervised learning
- prediction accuracy
- clustering algorithm
- unsupervised learning
- clustering method
- machine learning methods
- total cost
- model selection
- active learning
- supervised classification
- three dimensional
- classification and regression problems
- cluster analysis
- data clustering
- regression model
- support vector regression
- conditional density estimation
- information extraction
- data points
- k means
- test set
- artificial intelligence
- mercer kernels
- decision trees
- cost sensitive learning
- radial basis function network
- training process
- inductive logic programming
- training examples
- density estimation
- fuzzy clustering
- computer science
- training algorithm
- support vector
- hierarchical clustering
- training data
- text mining
- locally weighted
- covariate shift
- self organizing maps
- computer vision
- training samples