Fast algorithms, modular methods, parallel approaches and software engineering for solving polynomial systems symbolically.
Yuzhen XiePublished in: ACM Commun. Comput. Algebra (2007)
Keyphrases
- methods outperform
- significant improvement
- computational cost
- methods can be applied
- pros and cons
- machine learning methods
- machine learning approaches
- machine learning algorithms
- methods require
- software engineering
- data mining techniques
- benchmark datasets
- theoretical guarantees
- alternative approaches
- alternative methods
- optimization methods
- computationally expensive
- search methods
- hybrid systems
- hybrid algorithms
- clustering approaches
- computer vision algorithms
- empirical comparisons
- algorithmic approaches
- automatic or semi automatic
- synthetic and real datasets
- fusion methods
- evaluation methods
- heuristic methods
- feature selection algorithms
- parallel processing
- artificial intelligence
- optimization problems
- learning algorithm
- sensing modalities
- commonly adopted
- data structure
- parallel implementations
- object oriented
- unsupervised methods
- distributed systems
- computational approaches
- combinatorial optimization
- statistical methods
- mathematical models
- data mining tasks