Sentence examples similar to non penalized from inspiring English sources

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The BLOSUM62 matrix is relatively flat with many non-identities penalized relatively lightly and diagonal elements (identities) rewarded moderately.

(2) For each b*, estimate the coefficients β ^ L A S S O in local penalized logistic regressions using each variable as outcome variable and the remainder as predictors for a penalty term t. (3) For each variable a define the neighborhood n e a * as the set of variables b corresponding to non-zero penalized coefficients β ^ b a : n e a * = { b ∈ υ : β ^ b a ≠ 0 }.

fB is then adapted to penalized non-linear fitting including Poisson maximum likelihood estimation by MC simulations.

Results: We introduce a computational framework for integration of various biological networks using penalized non-negative matrix tri-factorization (PNMTF).

The method is based on penalized non-negative matrix tri-factorization (PNMTF) for heterogeneous data clustering (Wang et al., 2008, 2011).

We, therefore, used a GLM with a sparse prior that penalized non-predictive weights, which would have large magnitudes merely due to correlations in the data (Mineault et al., 2009; Coen et al., 2014).

It can be seen that the penalty on outliers is increasing with p. Indeed, as p→0 the penalty of the corresponding cost function on non-zero values approaches l0-norm cost function (where any non-zero value is equally penalized and there is no penalization of larger values).

As (epsilon rightarrow 0) the non-horizontal directions are penalized causing a sharp phase transition between the regime at (epsilon >0) and (epsilon =0).

Moreover, at all thresholds, except for the lowest one, there is evidence that individuals with a medium non-cognitive ability are penalized by a higher unemployment rate.

where λ' is defined as λ' = ρ λ., λ being a parameter whose value represents the additional distance with which non-overlapping pixels are penalized.

In this configuration sequences are weighted by the ChIP-Chip experiments that binding sequences are boosted and non-binding sites are penalized during the training.

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