A General Method for Maximizing the Error-Detecting Ability of Distributed Algorithms.
Martina SchollmeyerBruce M. McMillinPublished in: PARLE (1994)
Keyphrases
- computationally efficient
- computational complexity
- error rate
- computational cost
- significant improvement
- experimental evaluation
- theoretical analysis
- detection method
- computational efficiency
- search methods
- hybrid method
- preprocessing
- clustering method
- high computational complexity
- optimization method
- synthetic and real data sets
- average error
- edge detection
- dynamic programming
- data structure
- bayesian networks
- similarity measure
- optimization algorithm
- high accuracy
- classification accuracy
- cross validation
- machine learning methods
- reinforcement learning
- highly efficient
- clustering algorithm
- methods require
- data sets