Вероятностная генеративная модель

We propose a novel algorithm of graph-to- string alignment that constructs automata from a sample of string sequences. While being a variant of global edit distance, the algorithm also employs …...

AbstractWe propose a deep and interpretable probabilistic generative model to analyze glyph shapes in printed Early Modern documents. We focus on clustering extracted glyph images into underlying templates in the …...

AbstractAnalyzing the evolution of dialects remains a challenging problem because contact phenomena hinder the application of the standard tree model. Previous statistical approaches to this problem resort to admixture analysis, …...

AbstractMeasuring the intensity of events is crucial for monitoring and tracking armed conflict. Advances in automated event extraction have yielded massive data sets of “who did what to whom” micro-records …...