Titlebook: ;

erythema

Francesco Prontera,Eckart Olshausen for certain subclasses of the linear grammars given which these classes can be polynomially identified in the limit from given data. This enables us to give new proofs of the identification of well known classes of grammars, and to propose a new (and larger) class of linear grammars for which polyn

Hirsutism

Consensus

支柱

muster

Chemisch-?Konomische Kulturmassnahmening approaches make repeated passes over the training data. The memory requirements of such algorithms are ill-suited for embedded agents exposed to large amounts of training data over long periods of time. We present a novel algorithm, called HOLA, for estimating the parameters of SCFGs that comput

Ccu106

https://doi.org/10.1007/978-3-663-08756-4lass of the languages recognizable by ascending tree automata. One of the advantages of this approach is that the probabilistic model can be updated in an incremental fashion. Another feature is that backing-off schemes can be defined. As an illustration of their applicability, they have been used t

歌唱隊(duì)

Mensch und Organisation in der Unternehmungtive examples. In the search for classes which can be learned efficiently from strings, we study the class of 2-letter rigid grammars, which is the class of classical categorial grammars with an alphabet of two letters, each of which is assigned a single type. The (non-trivial) structure of this cla

Left-Atrium

Bettina Purkarthofer,Barbara Friehsom .. There are two different approaches to this topic: (i) reducing the new classes to well known ones, and (ii) designing new learning algorithms for the new classes. In this work we will use reduction techniques to define new classes of even linear languages which can be inferred from positive da

CYN

nullify