Sentence examples for for gathering training from inspiring English sources

Applying supervised learning in robot navigation encounters serious challenges such as inconsistent and noisy data, difficulty for gathering training data, and high error in training data.

The procedure for gathering training data begins with the curation of two sets of proteins whose subcellular localization has been experimentally confirmed.

The procedure for gathering training data begins with the extraction of protein sequences from UniprotKB/SwissProt. Restrictions are defined and enforced on the sequence length and inclusion of fragments.

Given that the vast majority of the procedures described in the literature for gathering training data can easily be automated, it is possible to transform valuable machine learning algorithms into self-evolving learners that use ever-changing data on genes and proteins and to develop new machine learning algorithms that are similarly capable.

Given that the vast majority of the procedures described for gathering training data can easily be automated, it is possible to transform valuable machine learning algorithms into self-evolving learners that benefit from the ever-changing data available for gene products and to develop new machine learning algorithms that are similarly capable.

Given that the vast majority of the procedures described for gathering training data can be easily automated requiring very little, if any, human assistance transforming machine learning algorithms into self-evolving learners that utilize new data on genes and proteins and developing new machine learning algorithms that are similarly capable is worthy of consideration.

The argument is made for the use of cognitive task analysis (CTA) methods for gathering reliable training corpora.

In some cases, those who went missing were in the US for intelligence-gathering training. USA Today.

For consistent data gathering, trained study nurses used the same standardized questionnaire to interview patients in the hip fracture and the non-fracture groups.

Expert-curated public gene and protein databases are major resources for gathering data to train these algorithms.

Public gene and protein databases such as GenBank [ 1], UniProt [ 2], and EuPathDB [ 3] are major resources for gathering data to train supervised machine learning algorithms used by life scientists for a variety of objectives including the detection of targeting sequences and the prediction of transmembrane domain topology.