Sentence examples for Sizable datasets from inspiring English sources

Rajan also says that those at Yahoo Labs have used sizable datasets like this to work on large-scale machine learning problems that are inspired by consumer-facing products, in particular in areas like search ranking, computational advertising, information retrieval, and core machine learning.

This collection of CIFs was a convenient and sizable dataset composed of small organic molecules and inorganic extended solids.

Consmr has been in the process, like every other data-based recommendation engine before it, of gathering user reviews and building a sizable dataset.

In the low complexity simLC dataset, a sizable portion of the reads belong to a single dominant organism.

For each PCA profile dataset, a sizable fraction of the tumors were significantly correlated (p<0.01) with the ER-status signature (Glinsky: 52%, Yu: 52%, Lapointe: 32%), some of the PCA having patterns similar to ER- IBC, others to ER+ IBC.

We curate a sizable, relatively high confident core dataset by literature reading and construct a MAP predictor based on the representative sequence features extracted from this core dataset.

When the medium-quality myogenin dataset was used instead, a sizable group of MyoD-only sites emerged and the erroneous conclusion that a substantial number of MyoD sites lack myogenin binding could be reached if this was the only dataset available for analysis.

This allows for rapid runtimes, but also leaves a sizable fraction (>50% in some cases) of each dataset unused.

Research collections are currently in a far-reaching process of transformation from curating pure analogous to sizable and complex collections of analogous and digital objects with the related datasets.

This sizable overlap confirms that nearly all human and mouse genes in the orthology dataset are likely to have valid CDS.

The absence of any sizable long term linear trends throughout our time period of interest for SN and our other datasets representing solar activity makes a similar process of trend analysis and removal unnecessary.