A Generalization of the Method for Evaluation of Stemming Algorithms Based on Error Counting.
Ricardo MadariagaJosé Raúl Fernández del CastilloJosé Ramón HileraPublished in: SPIRE (2005)
Keyphrases
- significant improvement
- computational cost
- theoretical analysis
- computational complexity
- detection method
- computationally efficient
- cost function
- error rate
- objective function
- recently developed
- evaluation method
- error bounds
- gold standard
- combinatorial optimization
- computational efficiency
- segmentation method
- high accuracy
- error measure
- methods require
- synthetic and real data sets
- error analysis
- hybrid method
- high computational complexity
- average error
- classification algorithm
- convergence rate
- search methods
- optimization method
- feature selection
- clustering method
- preprocessing
- data structure
- image sequences
- decision trees