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  2. Regularization (mathematics) - Wikipedia

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

    A comparison between the L1 ball and the L2 ball in two dimensions gives an intuition on how L1 regularization achieves sparsity. Enforcing a sparsity constraint on can lead to simpler and more interpretable models. This is useful in many real-life applications such as computational biology. An example is developing a simple predictive test for ...

  3. Long interspersed nuclear element - Wikipedia

    en.wikipedia.org/wiki/Long_interspersed_nuclear...

    Remnants of L2 and L3 elements are found in the human genome. [23] It is estimated that L2 and L3 elements were active ~200-300 million years ago. Due to the age of L2 elements found within therian genomes, they lack flanking target site duplications. [24] The L2 (and L3) elements are in the same group as the CR1 clade, Jockey. [25]

  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. Lp space - Wikipedia

    en.wikipedia.org/wiki/Lp_space

    Techniques which use an L1 penalty, like LASSO, encourage sparse solutions (where the many parameters are zero). [14] Elastic net regularization uses a penalty term that is a combination of the L 1 {\displaystyle L^{1}} norm and the squared L 2 {\displaystyle L^{2}} norm of the parameter vector.

  6. Elastic net regularization - Wikipedia

    en.wikipedia.org/wiki/Elastic_net_regularization

    It was proven in 2014 that the elastic net can be reduced to the linear support vector machine. [7] A similar reduction was previously proven for the LASSO in 2014. [8] The authors showed that for every instance of the elastic net, an artificial binary classification problem can be constructed such that the hyper-plane solution of a linear support vector machine (SVM) is identical to the ...

  7. Macro-haplogroup L - Wikipedia

    en.wikipedia.org/wiki/Macro-haplogroup_L

    Haplogroup L1-6 (also L1'2'3'4'5'6) split off undifferentiated haplogroup L roughly 20,000 years after Mitochondrial Eve, or at roughly 170,000 years ago (167 ± 36 kya in the estimate of Soares et al. 2009). It diverged, in its turn, into L1 (150 kya), L5 (120 kya), and L2 (90 kya) before the recent out-of Africa event of ca. 70 kya.

  8. Dauer larva - Wikipedia

    en.wikipedia.org/wiki/Dauer_larva

    A characteristic of the dauer stage is the pronounced alae [11] which may be implicated in the entering (L1) and exiting (pre adult or L4 in C. elegans) of the dauer stage. [citation needed] The cuticle is thick and contains a unique striated zone in its basal area. [2] [11] Dauer larvae generally remain motionless, but can react to touch or ...

  9. 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 ...