Prediction of Atomization Energy Using Graph Kernel and Active Learning.

Yu-Hang Tang Wibe A. de Jong

Published in: CoRR (2018)

Keyphrases

active learning
graph kernels
semi supervised learning
random sampling
labeled data
gaussian processes
semi supervised
supervised learning
machine learning
training examples
collaborative filtering
rating prediction
kernel methods
support vector
feature extraction
image segmentation
learning algorithm