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书目名称Grammatical Inference: Learning Syntax from Sentences影响因子(影响力)




书目名称Grammatical Inference: Learning Syntax from Sentences影响因子(影响力)学科排名




书目名称Grammatical Inference: Learning Syntax from Sentences网络公开度




书目名称Grammatical Inference: Learning Syntax from Sentences网络公开度学科排名




书目名称Grammatical Inference: Learning Syntax from Sentences被引频次




书目名称Grammatical Inference: Learning Syntax from Sentences被引频次学科排名




书目名称Grammatical Inference: Learning Syntax from Sentences年度引用




书目名称Grammatical Inference: Learning Syntax from Sentences年度引用学科排名




书目名称Grammatical Inference: Learning Syntax from Sentences读者反馈




书目名称Grammatical Inference: Learning Syntax from Sentences读者反馈学科排名

和音

Inductive inference from positive data: from heuristic to characterizing methods,mative or heuristic solutions. We consider here the heuristic inference methods and present a formal approach — the . — to them. Generalized quotients allows us to define clearly the heuristics used in these methods, and to examine from a firm basis relations between results produced by different he

胆汁

Unions of identifiable families of languages,limit from a text with bounds on mindchanges and anomalies. We show that, though these identification types are not closed under the set union, some of them still have features that resemble closedness. To formalize this, we generalize the notion of closedness. Then by establishing “how closed” thes

纺织品

Characteristic sets for polynomial grammatical inference,is to try to use polynomial time and space. A typical idea to deal with the first point is to say that an algorithm performs well if it identifies . the correct language. The second point has led to debate about how to define polynomial time: the main definitions of polynomial inference have been pr

Juvenile

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Clustering of sequences using a minimum grammar complexity criterion,n. Grammars, describing the structure of patterns, are used as kernel functions in a hierarchical agglomerative clustering algorithm, taking a ratio of decrease in grammar complexity as criterion for cluster association. Cluster analysis of a set of contour images is performed to illustrate the prop

Implicit

A note on grammatical inference of slender context-free languages,he inference problem of slender context-free languages is not hard, and therefore, the languages have some weakness as cryptosystems. Then, we propose a hierarchical construction of families of slender languages by using some type of linear grammars and slender context-free languages. This makes the

Gnrh670

Amenable