A lattice-based framework for the classification and design of asynchronous pipelines.
Peggy B. McGeeSteven M. NowickPublished in: DAC (2005)
Keyphrases
- conceptual framework
- automatic classification
- design process
- support vector
- classification algorithm
- computational framework
- case study
- preprocessing
- user interface
- design principles
- feature vectors
- software architecture
- unsupervised learning
- text classification
- classification systems
- feature selection
- machine learning
- high level synthesis
- engineering design
- conceptual model
- benchmark datasets
- machine learning algorithms
- principal component analysis
- classification accuracy
- feature space
- pattern recognition
- training data
- decision trees
- learning algorithm