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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. 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 ...

  5. I quit sugar for 6 months and this is what it did to my face ...

    www.aol.com/news/quit-sugar-6-months-did...

    The last six months of my no-sugar resolution have been amazing, to say the least. There are times when I feel like giving in to the occasional cravings, but then I think about my skin and my ...

  6. Bayesian interpretation of kernel regularization - Wikipedia

    en.wikipedia.org/wiki/Bayesian_interpretation_of...

    A mathematical equivalence between the regularization and the Bayesian point of view is easily proved in cases where the reproducing kernel Hilbert space is finite-dimensional. The infinite-dimensional case raises subtle mathematical issues; we will consider here the finite-dimensional case.

  7. 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.

  8. Early stopping - Wikipedia

    en.wikipedia.org/wiki/Early_stopping

    This smoothness may be enforced explicitly, by fixing the number of parameters in the model, or by augmenting the cost function as in Tikhonov regularization. Tikhonov regularization, along with principal component regression and many other regularization schemes, fall under the umbrella of spectral regularization, regularization characterized ...

  9. 4 predictions for the US housing market in 2025, according to ...

    www.aol.com/4-predictions-us-housing-market...

    The average home value, meanwhile, climbed to $359,099 in October, up by 2.6% annually, Zillow said. And per Freddie Mac, the rate on the 30-year fixed mortgage edged up to 6.84% last week.