training data

training data

[′trān·iŋ ‚dad·ə]
(control systems)
Data entered into a robot's computer at the beginning of an operation.
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The contract includes providing a complete training centre with infantry simulators, anti-tank simulators, vehicle systems and communication systems for controlling, monitoring and collecting training data to enable detailed analysis of exercises.
With small amounts of training data, existing machine reading comprehension models can be adapted to handle such queries.
Algorithms that have higher variance can utilize more complex data, but the trade-off is that they are less likely to provide confidence around that data if it's outside the training data set.
Deep learning algorithms require an extensive amount of training data that can be difficult to obtain.
Today, it's clear that these deep learning neural networks do well in supervised learning settings, if they're provided training data with good examples and bad examples so they can learn what to output correctly.
and Kumamoto University has announced the development of technology to easily create the training data necessary to apply AI to time-series data, such as those from accelerometers and gyroscopic sensors.
M2 EQUITYBITES-April 18, 2019-Appen Closes Acquisition of Figure Eight to Create Machine Learning Training Data Solution
After opening registration online, competitors were given access to the training data set, consisting of over 4.3 million instances across 24 different modulations, which included a noise class.
Training samples were selected from the Landsat-8 optical imagery with the support of information available in Google Earth; the same pixel locations of training data were used to extract training data from SAR image as well.
Kuala Lumpur, Malaysia, October 29, 2018 --(PR.com)-- Supahands, a training data provider for Artificial Intelligence and Machine Learning, announces its newly designed and updated website (https://www.supahands.com).
Noting that the probability that an OECD guideline animal test would output the same result in a repeat test was 78 to 96 percent, with sensitivity of 50 to 87 percent, Tom Luechtefeld, M.D., from the Johns Hopkins University Bloomberg School of Public Health in Baltimore, and colleagues used an expanded database with more than 866,000 chemical properties/hazards as training data. Read-across structure activity relationship (RASAR) models were constructed using binary fingerprints and Jaccard distance to define chemical similarity.

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