A Survey of Methods for Scaling Up Inductive Algorithms.
Foster J. ProvostVenkateswarlu KolluriPublished in: Data Min. Knowl. Discov. (1999)
Keyphrases
- significant improvement
- computational cost
- computationally expensive
- methods outperform
- benchmark datasets
- computational challenges
- problems in computer vision
- optimization methods
- computationally intensive
- synthetic and real datasets
- computer vision algorithms
- empirical studies
- learning algorithm
- clustering algorithm
- methods require
- theoretical guarantees
- synthetic and real data sets
- algorithms require
- data structure
- alternative methods
- neural network
- evaluation measures
- machine learning methods
- computational complexity
- linear algebra
- optimization problems
- complexity analysis
- classical methods
- exhaustive search
- methods can be applied