The Lawson-Hanson Algorithm with Deviation Maximization: Finite Convergence and Sparse Recovery.
Monica DessoleMarco Dell'OrtoFabio MarcuzziPublished in: CoRR (2021)
Keyphrases
- learning algorithm
- experimental evaluation
- detection algorithm
- optimization algorithm
- high accuracy
- computational cost
- convergence rate
- dynamic programming
- computational complexity
- worst case
- recovery algorithm
- ant colony optimization
- cost function
- improved algorithm
- preprocessing
- objective function
- sparse representation
- theoretical guarantees
- simulated annealing
- global convergence
- stochastic approximation
- rapid convergence
- convergence theorem
- faster convergence
- negative matrix factorization
- np hard
- bayesian networks
- similarity measure
- decision trees