BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory.
Amirali AghazadehVipul GuptaAlex DeWeeseOnur Ozan KoyluogluKannan RamchandranPublished in: CoRR (2020)
Keyphrases
- 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