Study of the Parallel Techniques for Dimensionality Reduction and Its Impact on Performance of the Text Processing Algorithms.
Marcin PietronMaciej WielgoszPawel RussekKazimierz WiatrPublished in: ICAART (1) (2016)
Keyphrases
- text processing
- dimensionality reduction
- computational cost
- optimization problems
- main factors
- computational complexity
- theoretical analysis
- learning algorithm
- significant improvement
- computationally efficient
- information extraction
- high dimensional spaces
- natural language processing
- data sets
- pattern recognition
- machine learning
- databases