The effectiveness of surrogate functions in improving the accuracy of PSO-type algorithms in an NLP task.
George TambouratzisPublished in: SSCI (2017)
Keyphrases
- computational cost
- computational efficiency
- computational demands
- times faster
- particle swarm optimization
- computational complexity
- orders of magnitude
- theoretical analysis
- computational speed
- exhaustive search
- prediction accuracy
- machine learning algorithms
- data mining
- natural language processing
- significant improvement
- learning algorithm
- computationally efficient
- knowledge representation
- data structure
- optimal parameters
- decision trees
- run times
- representational power