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Efficient Sequence Regression by Learning Linear Models in All-Subsequence Space.
Severin Gsponer
Barry Smyth
Georgiana Ifrim
Published in:
ECML/PKDD (2) (2017)
Keyphrases
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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