Computational algebraic geometry applies algorithmic techniques to problems in algebraic geometry, focusing on the effective manipulation of polynomial ideals and the algebraic varieties they define.

For the statistical stochastic models with hierarchical structure such as Deep networks, Gaussian mixture models and hidden Markov models, algebraic geometry have contributed to the performance ...