Supervised learning based model for predicting variability-induced timing errors.
Xun JiaoAbbas RahimiBalakrishnan NarayanaswamyHamed FatemiJosé Pineda de GyvezRajesh K. GuptaPublished in: NEWCAS (2015)
Keyphrases
- computational model
- supervised learning
- mathematical model
- sensitivity analysis
- probabilistic model
- probability distribution
- em algorithm
- statistical model
- objective function
- cost function
- database
- experimental data
- unsupervised learning
- formal model
- conceptual model
- network structure
- parameter estimation
- artificial neural networks
- bayesian networks
- machine learning