Should short, relatively complex algorithms be taught using both graphical and verbal methods? Six replications.
David A. ScanlanPublished in: SIGCSE (1988)
Keyphrases
- computationally expensive
- significant improvement
- computationally intensive
- benchmark datasets
- machine learning algorithms
- synthetic and real datasets
- algorithms require
- orders of magnitude
- methods outperform
- computationally demanding
- data mining techniques
- computationally efficient
- computational challenges
- problems in computer vision
- learning algorithm
- computer vision algorithms
- noisy data
- heuristic methods
- methods require
- empirical studies
- computational cost
- high level
- high computational complexity
- methods can be applied
- parameter settings
- search methods
- optimization problems
- preprocessing
- computational complexity
- complexity analysis
- hybrid method
- feature selection algorithms
- optimization methods
- statistical methods
- classical methods
- machine learning methods
- experimental comparison
- search algorithm
- computationally complex