Efficient Sequence Regression by Learning Linear Models in All-Subsequence Space.

Severin Gsponer Barry Smyth Georgiana Ifrim

Published in: ECML/PKDD (2) (2017)

Keyphrases

linear models
learning algorithm
supervised learning
linear regression
linear model
reinforcement learning
learning problems
learning process
prior knowledge
low dimensional
model selection
regression model
learning tasks
variable selection
gaussian processes
reproducing kernel hilbert space