Sentence examples for tackle sample from inspiring English sources

In this study, we introduce the Heuristic Kalman algorithm, a metaheuristic optimization approach, in combination with particle filtering to tackle sample degeneracy and impoverishment.

She moved confidently from introducing the day's material — how to calculate the mean for a set of numbers — to a quick cold-call session to review what they had already learned and finally to helping students as they tackled sample problems on their own.

Data analysis based on differential topology has long been primarily focused on data samples on univariate (scalar-valued) functions f : R n → R. Nonetheless, with the recent advent of high-performance computers and sensors of high resolution, we are more likely to tackle data samples of multivariate functions f : R n → R m, m>1.

For example, geoscientists must tackle problems of sampling bias and ergodicity (the ability to show that the available sample is representative of the larger data set).

Receiver operating characteristic (ROC) analysis has become a standard tool to tackle the two-sample problems in many scientific and engineering fields.

The Heart Gently Weeps is an ambitious undertaking and there are few other hip-hop acts that would have tackled a Beatles sample, but if the beat sucks, what's the point?

Although Sanger-based DNA sequencing has proved robust for building large sequence libraries such as DNA barcode reference libraries, it is not a feasible approach for tackling bulk environmental samples because these samples can contain thousands of individuals from hundreds of species ranging from bacteria to higher eukaryotes.

Voice recognition software today works in very specialized circumstances it can typically recognize only one voice at a time, and it performs best when it has reams of data in the archive before tackling a new speech sample.

This paper presents an overview of the different strategies that have been put forward to pre-treat BG samples to tackle the pH raise issue in order to enable cell biology studies.

One way to tackle the n (experimental samples) < p (genomic/gene expression features) problem inherited in high-throughput microarray or sequencing techniques is to reduce the high-dimensional data using gene component analysis [ 4– 7].

Researchers who have tackled similarly broad samples have relied on mail surveys.