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Robust learning algorithm for the mixture of experts
Hector Allende
, Romina Torres
, Rodrigo Salas
, Claudio Moraga
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
›
peer-review
2
Scopus citations
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Keyphrases
Learning Algorithm
100%
Maximum Likelihood Estimator
100%
Robust Learning Algorithm
100%
Mixture-of-Experts
100%
Network Parameters
50%
Simulation Study
50%
Distributional Hypothesis
50%
Search Space
50%
M-estimator
50%
Robust Learning
50%
Robust Estimator
50%
Desired Performance
50%
Modular Neural Network
50%
Better Performance
50%
Mixture of Experts Model
50%
INIS
algorithms
100%
learning
100%
mixtures
100%
data
50%
performance
50%
maximum-likelihood fit
50%
architecture
25%
neural networks
25%
space
25%
distribution
25%
simulation
25%
Mathematics
Maximum Likelihood Estimator
100%
Mixture Of Experts
100%
Simulation Study
50%
Distributional Assumption
50%
M-Estimator
50%
Robust Estimator
50%
Artificial Neural Network
50%