Sentence examples for method for incremental from inspiring English sources

A method for incremental online fMLLR adaptation was proposed in [31], and Lei et al. explored incremental online fMLLR adaptation for DNNs in [32].

In addition, a splitting failure criterion and a prediction method for incremental deformation due to crack opening were incorporated in the analysis to estimate the splitting failure zones in the rock surrounding the underground caverns produced by excavation stress release.

In this paper we present a method for incremental planar segmentation of a gradually expanding point cloud map and a method for efficient triangulation and texturing of planar surface segments.

Moreover, several advanced methods for incremental data processing have been proposed in recent years as the sizes of recent databases obtained in the real world become larger.

In "Tree-based incremental high utility pattern mining" section, we analyze characteristics of recent tree-based methods for incremental high utility pattern mining through experiments for performance evaluation with real datasets and study direction of improvements based on experimental results.

Here, Gamification in Concept Design, Dark Horse Approach or Design Driven Innovation is a more appropriate method and will be addressed in a future article, 'Design Methods for Incremental & Breakthrough Innovations.'.

We present a new method for the incremental training of multiclass support vector machines that can simultaneously modify each class separating hyperplane and provide computational efficiency for training tasks where the training data collection is sequentially enriched and dynamic adaptation of the classifier is required over time.

It was considered that Cardio inCode® would be cost effective compared with the standard method for an incremental cost-effectiveness ratio (ICER) (willingness of the NHS to pay) less than €30,000 (or €36,000 updating the 2002 value to the year 2011) per QALY gained or per LY gained without adjusting for its quality [ 41].

The method is incremental.

We investigate a method of incremental data cleaning for SVMs in which we sequentially add training data to the training set by selecting the next example closest to the current separating hyperplane: these are necessarily low confidence predictions and, by this means, we defer encounter with potential outliers toward the end of the sequential learning process.

In this work, we develop methods for the incremental detection of neighbor-based patterns, in particular, density-based clusters and distance-based outliers over sliding stream windows.