markovian

It has the correct scaling behaviour too, which stochastic / markovian models lack.

Exponential Growth in Physical Systems #2 « Climate Audit 2007

The fi rst one, mostly used in the fi eld of speech recognition, models natural language as a markovian stochastic process in which each charac - ter, word or text token is considered as a random variable with a certain probability distribution.

Recently Uploaded Slideshows tizyweb 2009

This section focuses on markovian language models based on frequen - cies, since these are the most commonly used models in the fi eld of AAC communication, and the models that have been employed in this thesis.

Recently Uploaded Slideshows tizyweb 2009

The reduced degrees of freedom are modelled in terms of first-order markovian ‹Å“red noise’ correlation structure of the data series, described by the lag-one autocorrelation coefficient àƒ?

Mann versus Rasmus and Gavin « Climate Audit 2006

In fact, if the markovian model proved accurate (and I’ll bet it would:-) one could use the network recursively with simulated inputs drawn from the expected distribution of e.g. sunspots and get an actual prediction of global future temperatures some years in the future that might even accurately describe the hidden feedback stabilization mechanisms that are obviously absent from quasi-linear (monotonic and non-delayed) models.

Willis E on Hansen and Model Reliability « Climate Audit 2006

For example, it would be interesting to try training a NN to predict “this year’s mean temperature” from (say) the last twenty-five years’ sunspot data, the last twenty-five years global temperature data (to give it a mechanism for doing the integro-differential non-markovian part of the solution) and with an input for some measure of the total volcanic activity for the last twenty five years.

Willis E on Hansen and Model Reliability « Climate Audit 2006