Sentence examples similar to a spectrum of learning techniques from inspiring English sources

However, a drawback of learning techniques is time consumption: a practical learning method for robotic applications must be effective with a small amount of data.

Both encourage students with a variety of learning techniques.

For this reason, we used a set of machine learning techniques, as discussed in Section Methods.

We were motivated to create a league table of machine learning techniques to learn what is hot and what is not in the machine learning field.

Hence, simulation addresses a broader spectrum of learning levels.

KBANN (Knowledge-Based Artificial Neural Networks) is a hybrid learning system built on top of connectionist learning techniques.

The specific invited talks include discussion of application of gaussian processes to time-series spectra in exoplanet research, machine learning techniques to quantify variability states of a micro-quasar, machine learning application in cosmology, and source detection.

They have presented a methodology that implements machine learning techniques to learn from known active and inactive compounds (an ever increasing set, that will tend to provide improved results as time goes by), and score a larger set of compounds (MicroSource Spectrum set of 2320 compounds).

Most of the listed studies use machine learning techniques, a large panel of different techniques.

We give examples from our own research where we have for instance used machine learning techniques to predict NMR spectra of biological metabolites and applied those in computer-assisted structure elucidation systems for metabolites [1 3] – a classical area of cheminformatics which is now seeing a renaissance in the context of metabolomics.

Many learning techniques require a large amount of trustworthy data.