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A Framework for Distributed Approximation of Moments with Higher-Order Derivatives Through Automatic Differentiation.
Michel Schanen
Daniel Adrian Maldonado
Mihai Anitescu
Published in:
ICCS (5) (2019)
Keyphrases
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feature extraction
higher order
feature vectors
pairwise
data sets
main contribution
lightweight
distributed learning
high order
case study
multi agent
peer to peer
genetic algorithm
theoretical framework
information retrieval
error bounds
conceptual framework
low order
distributed architecture
real time