21. Typical learning algorithms include empirical risk minimization, without or with Tikhonov regularization . 22. Structured Sparsity regularization can be applied in the context of multiple kernel learning. 23. This type of constraint is known as regularization . 24. However, it was found to be a regularization suitable also for perturbative calculations. 25. Regularization can be accomplished by restricting the hypothesis space \ mathcal { H }.26. The most popular of which for computing functional determinants is the zeta function regularization . 27. The Plural Left government initiated several reforms, including the regularization of undocumented immigrants. 28. More advanced methods are required, such as zeta function regularization or Ramanujan summation. 29. This can be modeled using the following regularization : 30. Besides controlling " M ", several other regularization techniques are used.
