Sentences with phrase «data than traditional approaches»

While we are excited about what we might achieve, our expectations are tempered by the caveat that deep learning generally requires vastly more data than traditional approaches to machine learning.

Not exact matches

Their unsupervised approach performed better than the more traditional methods of classification — those based on a set of predetermined features — and managed to reach up to 85.4 % accuracy in the large Brazilian data set, they report today in PeerJ.
When applied to 100 of the most sought - after fine wines from the Liv - ex 100 wine index, the new approach predicted prices with greater accuracy than other more traditional methods by learning which information was important amongst the data.
These data indicate that under many atmospherically - relevant conditions SOA particles are significantly more viscous and orders of magnitude less volatile than assumed in traditional modeling approaches; SOA formation yields can be significantly higher than previously reported values; and anthropogenic pollution enhance loadings of SOA from biogenic precursors.
When educators learn about the work of Envision Schools and the work of our partner schools in the Deeper Learning Network, they almost always ask for evidence or data to show that this approach is better than traditional approaches to learning.
Arnott has back - tested his methods on historical data and claims that his fundamental indexing approach would have outperformed traditional indexes by more than two percentage points a year over the past few decades.
[1] Where feral cats are concerned, however, the «Proposed Action» is nothing more than the «traditional» trap - and - kill approach — this, despite the fact that FWS lacks sufficient data concerning the distribution of, and extent of predation by, feral cats.
Calibration and tuning of coupled Human — Earth System models, as indicated above, could take advantage of optimal parameter estimation using advanced Data Assimilation, rather than following the more traditional approach of tuning individual parameters or estimating them from available observations.
Understanding the data can offer insights and allow for more effective strategy development earlier in a matter than traditional approaches.
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