In 2008, Walter Grandy wrote: "It is rather presumptuous to speak of the entropy of a universe about which we still understand so little, and we wonder how one might define thermodynamic entropy for a universe and its major constituents that have never been in equilibrium in their entire existence." According to Tisza: "If an isolated system is not in equilibrium, we cannot associate an entropy with it." Buchdahl writes of "the entirely unjustifiable assumption that the universe can be treated as a closed thermodynamic system". Max Planck wrote that the phrase "entropy of the universe" has no meaning because it admits of no accurate definition. You should also add the template years.A model attribution edit summary is Content in this edit is translated from the existing Chinese Wikipedia article at ] see its history for attribution. You must provide copyright attribution in the edit summary accompanying your translation by providing an interlanguage link to the source of your translation.If possible, verify the text with references provided in the foreign-language article. The resulting ME spectral estimator is parametric and equivalent to an auto-regressive (AR) spectral estimator. Do not translate text that appears unreliable or low-quality. Maximum entropy spectral analysis (MESA) is the statistical estimation of the power spectrum of a stationary time series using the maximum entropy (ME) method.The Maximum Entropy model is a type of log. Only recently, however, have computers become powerful enough to. Maximum entropy classification is a method that generalizes logistic regression to multiclass problems. The concept of maximum entropy can be traced back along multiple threads to Biblical times. Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia. Paralleling the derivation of thermodynamics from the maximum entropy principle, the state variable theory of ecology developed in the book predicts realistic forms for all metrics of ecology that describe patterns in the distribution, abundance, and energetics of species across multiple spatial scales. Maximum entropy models are a clean way to combine various pieces of contextual evidence to estimate the probability of a particular linguistic class occurring with a specific linguistic context.
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