Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...