Sentence examples for designed to handle data from inspiring English sources

Preprocessing techniques are designed to handle data with different recording manners to produce smooth probability density functions.

State-of-the-art methods designed to handle data skew propose new ways to distribute computation that avoid hotspots.

Data Acquisition (DAQ) systems for large high-energy physics (HEP) experiments in the eighties were designed to handle data rates of megabytes per second.

Unlike existing second-generation (2G) networks, 3G systems are designed to handle data quickly and efficiently alongside voice calls, and are thus expected to be one of the key technologies that will underpin the mobile Internet.

Itanium has been designed to handle data in much bigger chunks than the Intel Pentium processors found in most personal computers and to be able to work simultaneously on several parts of a problem, a performance-bolstering design known as parallel processing.

Specifically, a two-stage BD-based optimization problem is designed to handle data uncertainties.

It transforms a numeric or continuous attribute to a nominal or categorical attribute by replacing the raw values of a continuous attribute with non-overlapping interval labels (e.g., 0 5, 6 10, etc).. Different data mining algorithms are designed to handle different data types.

EVCLUS was designed to handle proximity data, whereas ECM is a direct extension of fuzzy clustering algorithms for vectorial data.

Newer protocols (such as http) or old protocols designed to handle arbitrary data (such as FTP) are actually going to be more likely to get your data transferred all in one piece.

CART is a nonparametric method that can examine both linear and nonlinear interactions simultaneously, and it was designed to handle missing data by identifying and using surrogate variables to minimize ascertainment bias, as is the case in data collected for routine clinical care (9, 15 – 15).

Most existing design algorithms for piecewise linear networks are not convergent, non-optimal, or are not designed to handle noisy data.