Sentences with phrase «such sparse data»

But analyzing such sparse data is tricky, says Karl - Heinz Kampert, a physicist at the University of Wuppertal in Germany and spokesman for the 500 - member Auger team.

Not exact matches

The sparse coding algorithm is such that it forces each column in the network — each neuron, essentially — to compete with the others to match the pattern in its memory to the incoming data.

The Bio Chemical Library (BCL) is a software package that provides unique tools for biological research, such as protein structure determination from sparse experimental data.

As for the geochemical data, it is based on Mg / Ca in foraminifera, alkenone unsaturation in sediments and some sparse data from other techniques such as Ca isotopes, clumped isotopes and TEX86.

Other research interests include data mining using high - dimensional and sparse (regularized) methods, with a focus on text summarization and causal inference with text in contexts such as newspaper corpora, legal decisions, and databases of free - text reports.

Face it, somethings are not knowable in simple straightforward terms, and the planet's climate, considering the huge number of variables and the timespan and sparse data sets for such a huge system is a perfect example of that kind of «impossible to summarize in a single sentence» scenario that you seem to think it «should» be.

But not such a large part that we can't get good results from sparse data.

I'm interested to use a global reanalysis data to force hydrological models such as SWAT for a meso watershed with sparse hydrometeorological stations.

Lots of factors make measuring global temperature a difficult task, such as sparse data in remote places, random measurement errors and changes in instrumentation over time.

A true scientist should be skeptical and particularly skeptical of things that are opposite to accepted physics and most particularly skeptical about conclusions based on such ridiculously sparse data.

Diverse statistical techniques are applied to estimate temperature trends in areas where there is sparse data, such as the Arctic.

NOAA / GISS and CRU would have us believe that its OK to base climate change policy and advocate spending trillions of dollars in combating climate change, when in fact the majority of data that underpins their claims of «unprecendented» and accelerating global warming in the latter part of the 20th century is based on such a sparse set of data.

But IMO it would have been better, to just limit the analysis up til March 2010, where you have most of the temperature data available and not incorporate two month with such a sparse amount of data.

Such field measurements are sparse, however, and the record of remotely sensed ocean color observations — the chief source of global biogeochemical data today — is limited to the sea surface and does not include a number of key variables.