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BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory.
Amirali Aghazadeh
Vipul Gupta
Alex DeWeese
Onur Ozan Koyluoglu
Kannan Ramchandran
Published in:
CoRR (2020)
Keyphrases
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feature selection
high dimensional
preprocessing
memory space
memory usage
memory requirements
cost function
learning algorithm
convergence rate
k means
np hard
neural network
detection algorithm
optimization algorithm
nearest neighbor
computational complexity
space complexity
expectation maximization
search space
high dimensionality
data sets
similarity measure
selection algorithm
associative memory
optimal solution
parameter space
probabilistic model
feature space
particle swarm optimization
low dimensional
high speed
dimensionality reduction