Stochastic Approximate Gradient Descent via the Langevin Algorithm.
Yixuan QiuXiao WangPublished in: CoRR (2020)
Keyphrases
- cost function
- objective function
- optimization algorithm
- k means
- times faster
- significant improvement
- experimental evaluation
- search space
- recognition algorithm
- classification algorithm
- particle swarm optimization
- monte carlo
- high accuracy
- expectation maximization
- computationally efficient
- segmentation algorithm
- detection algorithm
- dynamic programming
- video sequences
- improved algorithm
- learning algorithm
- linear programming
- simulated annealing
- worst case
- probabilistic model
- hidden markov models
- multi objective
- evolutionary algorithm
- support vector
- optimal solution