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Learning from what we know: How to perform vulnerability prediction using noisy historical data.
Aayush Garg
Renzo Degiovanni
Matthieu Jimenez
Maxime Cordy
Mike Papadakis
Yves Le Traon
Published in:
Empir. Softw. Eng. (2022)
Keyphrases
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historical data
learning algorithm
supervised learning
prior knowledge
machine learning
reinforcement learning
learning process
prediction accuracy
learning tasks
inductive inference
predictive model
e learning
bayesian networks
knowledge acquisition
learning systems
prediction error