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  2. Endo contractualization - Wikipedia

    en.wikipedia.org/wiki/Endo_contractualization

    Endo (derived from "end-of-contract") [1] refers to a short-term de facto employment practice in the Philippines.It is a form of contractualization which involves companies giving workers temporary "employment" that lasts for less than six months (or strictly speaking, 180 calendar days) and then terminating their employment just short of being regularized in order to skirt on the costs which ...

  3. Regularization (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Regularization_(mathematics)

    A regularization term (or regularizer) () is added to a loss function: = ((),) + where is an underlying loss function that describes the cost of predicting () when the label is , such as the square loss or hinge loss; and is a parameter which controls the importance of the regularization term.

  4. Regularized least squares - Wikipedia

    en.wikipedia.org/wiki/Regularized_least_squares

    This regularization function, while attractive for the sparsity that it guarantees, is very difficult to solve because doing so requires optimization of a function that is not even weakly convex. Lasso regression is the minimal possible relaxation of ℓ 0 {\displaystyle \ell _{0}} penalization that yields a weakly convex optimization problem.

  5. Ridge regression - Wikipedia

    en.wikipedia.org/wiki/Ridge_regression

    In many cases, this matrix is chosen as a scalar multiple of the identity matrix (=), giving preference to solutions with smaller norms; this is known as L 2 regularization. [20] In other cases, high-pass operators (e.g., a difference operator or a weighted Fourier operator ) may be used to enforce smoothness if the underlying vector is ...

  6. Matrix regularization - Wikipedia

    en.wikipedia.org/wiki/Matrix_regularization

    Regularization by spectral filtering has been used to find stable solutions to problems such as those discussed above by addressing ill-posed matrix inversions (see for example Filter function for Tikhonov regularization). In many cases the regularization function acts on the input (or kernel) to ensure a bounded inverse by eliminating small ...

  7. Anna Faris gives update on podcast 'Unqualified' after 6 ...

    www.aol.com/entertainment/anna-faris-gives...

    Anna Faris gives update on podcast 'Unqualified' after 6-month hiatus (Exclusive) Gibson Johns. Updated September 12, 2019 at 1:16 PM.

  8. Manifold regularization - Wikipedia

    en.wikipedia.org/wiki/Manifold_regularization

    Manifold regularization is a type of regularization, a family of techniques that reduces overfitting and ensures that a problem is well-posed by penalizing complex solutions. In particular, manifold regularization extends the technique of Tikhonov regularization as applied to Reproducing kernel Hilbert spaces (RKHSs).

  9. When will Trump end taxes on tips, OT and Social Security ...

    www.aol.com/news/trump-end-taxes-tips-ot...

    Trump won the Nov. 5 election after promising a raft of tax cuts to working-class Americans, beginning with his plan to spare tips, a policy to which he has credited his victory in Nevada, where ...