The task of inferring the native language of an author based on texts written in a second language has generally been tackled as a classification problem, typically using as features a mix of n-grams over characters and part of speech tags (for small and fixed n) and unigram function words. To capture arbitrarily long n-grams that syntax-based approaches have suggested are useful, adaptor gramm...

Crop production space is the most important part of land use system, and spatial simulation has always been key task science. affected by many factors on different spatio-temporal scales, which leads to complexity models. The existing models also have limitations lack human factors, large area excessive reliance expert experience. Sichuan Province a typical Citrus expansion in China, so it grea...

Whereas most previous studies on (super-)gang effects examined cases where two weaker constraints jointly beat another stronger constraint (Albright 2012; Shih 2017; Breiss & Albright 2022), this paper addresses gang that arise from multiple violations of a single constraint, which Jäger Rosenbach (2006) referred to as counting cumulativity. The super-additive version cumulativity is th...

Abstract Background In the last two decades, Nepal has experienced an increase in both forest fire frequency and area, but very little is known about its spatiotemporal dimension. A limited number of studies have researched extent, timing, causative parameters, vulnerability factors regarding Nepal. Our study analyzed trends patterns for decades fire-vulnerability risk based on historical incid...

For a given set of moments whose predetermined values represent the available information, we consider case where Maximum Entropy (MaxEnt) solutions for Stieltjes and Hamburger reduced moment problems do not exist. Genuinely relying upon MaxEnt rationale find distribution with largest entropy prove that this gives best approximation true but unknown underlying distribution. Despite nice propert...

With the development of social economy and an enlarged volume information, application multiple-criteria decision making (MCDM) has become increasingly wide deep. As a brilliant MCDM technique, best–worst method (BWM) attracted many scholars’ attention because it can determine weights criteria with less comparison time higher consistency between judgments than analytic hierarchy process. Howeve...

We propose a numerical method to learn Maximum Entropy (MaxEnt) distributions with spatio-temporal constraints from experimental spike trains. This is an extension of two papers [10] and [4] who proposed the estimation of parameters where only spatial constraints were taken into account. The extension we propose allows to properly handle memory effects in spike statistics, for large sized neura...