Sentence examples for wrappers such as from inspiring English sources

The change should also affect web wrappers such as Metal, which is currently blocking the warning message.

Sales, profits and assets under management are all up strongly, and the star performer is its Vantage investment supermarket, which allows savers to hold investments in tax-efficient wrappers such as Sipps – self invested pension plans.

On the top of the stack are many Spark wrappers such as Spark Streaming (Large Scale real-time stream processing), Blink DB (queries with bounded errors and bounded response times on very large data) [23], GraphX (Resilient distributed Graph System on Spark) [24] and MLBase (distributed machine learning library based on Spark) [25].

It consists of a NTOSKRNL API, a basic WDM controller, and a set of Windows call wrappers such as Wireless/NDIS/USB/PnP to Linux APIs.

Find candy with black or orange wrappers such as Reese's Peanut Butter Cups, Hershey's Dark or Milk Chocolate, or original M&M's.

If you are starting out, get a mild stick (usually a lighter wrapper, such as a Cameroon, is a good first cigar).

Other meta-learning wrapper techniques such as Costing [7] and Weighting [8] employ sampling in the training phase and then use cost-agnostic classifiers on the resampled data.

Use of the CDK ranges from inclusion of CDK functionality in wrapper platforms such as Cinfony [5], incorporation within the R environment (rcdk [6]), and as plugins for Taverna [7], KNIME [8], Cytoscape (ChemViz2 [9]), and for Microsoft Excel (LICSS [10]).

Wrapper methods such as RFE and RCE are based on iteratively eliminating features so as to minimize the prediction error.

In wrapper methods such as RCE, the feature selection/elimination and classification steps are embedded with each other and are repeated after each iteration.

A recent comparison of feature selection methods for multiclass microarray data classification (Chai and Domeniconi, 2004) shows that wrapper methods such as SVM-RFE lead to better classification accuracy for large number of features, but often gives lower accuracy than filter methods when the number of selected features is very small.