Experimental Study of Parameters for Rapidly-exploring Random Tree Algorithm.
Li MengSong QingZhao Qin JunPublished in: ICCMS (2017)
Keyphrases
- experimental study
- learning algorithm
- expectation maximization
- parameter tuning
- times faster
- experimental evaluation
- np hard
- optimization algorithm
- high accuracy
- tree structure
- dynamic programming
- cost function
- computational complexity
- objective function
- neural network
- recognition algorithm
- detection algorithm
- synthetic datasets
- input data
- optimal parameters
- k means
- search space
- parameter estimation
- worst case
- clustering method
- computational cost
- optimal solution
- parameter selection
- mining high utility itemsets
- maximum likelihood estimation
- parameter settings
- probabilistic model
- genetic algorithm