Dimensionally Distributed Learning: Models and Algorithm
Haipeng ZhengSanjeev R. KulkarniH. Vincent PoorPublished in: CoRR (2008)
Keyphrases
- detection algorithm
- distributed learning
- experimental evaluation
- probabilistic model
- computational complexity
- significant improvement
- objective function
- bayesian framework
- parameter estimation
- particle swarm optimization
- high accuracy
- dynamic programming
- computational cost
- expectation maximization
- preprocessing
- optimal solution
- learning algorithm
- np hard
- simulated annealing
- cost function
- search space
- segmentation algorithm
- optimization algorithm
- reinforcement learning
- convergence rate
- learned models
- metadata