Sentence examples for I regularized from inspiring English sources

The solution contains three sub-models: (i) regularized inversion of the cause effect matrix with the target cabin air temperatures as the known input, which solves the convective heat rates of the underfloor heaters and the air-supply temperature, (ii) solution of underfloor heater's surface temperatures based on Newton's law of cooling, and (iii) computation of the radiative heat rates.

To solve the modeling task, we need three components: (i) regularized dimension reduction, (ii) combination of different data sources, and (iii) multi-way analysis.

The proposed methodology on the other hand, addresses the issue of small training sets (i) by regularizing the estimates through the use of a prior distribution on the weights in a Bayesian estimation setting.

We further use a combination of logistic regression and Lasso (i.e. regularized logistic regression, RLR) as a wrapper to extract the most relevant features for individual subproblems from the whole set of high-dimensional sensor data.

Thus, the RC fitting algorithms are adjusted (i.e. regularized) with a "regularizing" operation or term to prevent overfitting to noise [3], [8] [10].

Second, the estimates are regularized, i.e. shrunk towards a common value that minimizes the average squared difference between the initial estimates and the shrinkage estimates.

Therefore, the DVs d i could be regularized as: dot{D_i}=frac{1}{eta }left({d}_i-{D}_iright) (32).

This yielded an estimate of the genetic covariance matrix that was a weighted combination of the standard (i.e. not regularized) estimate and the phenotypic covariance matrix multiplied by the mean eigenvalue.

Two different data-driven approaches to prediction and optimization are used to demonstrate the methodological flexibility: (i) a combination of Bayesian regularized neural networks with genetic algorithm based optimization, and (ii) a reinforcement learning based control logic using fitted Q-iteration are both successfully applied.

Our results are new and interesting in the following contexts: (i) Our algorithm (3.1) is not regularized by contractions.

A common method in solving ill-posed problems is to substitute the original problem by a family of well-posed (i.e., with a unique solution) regularized problems.