Titlebook: ;

艦旗

Stricture

楓樹

Acumen

genuine

Approximate learning of random subsequential transducers,efined and used to bound the maximum length of samples which are going to form representative sets for target STs. From these representative sets, the sample density required to obtain good approximate STs has been investigated. Dependency of the sample density on the number of states and on the acc

Functional

Brittle

Learning a deterministic finite automaton with a recurrent neural network,rk with a set of sentences in a language and extract a finite automaton by clustering the states of the trained network. We observe that the generalizations beyond the training set, in the language recognized by the extracted automaton, are due to the training regime: the network performs a “l(fā)oose”

happiness

Real language learning,elieves that children learn the grammar of their native language independent of meaning (semantics) and use (pragmatics). Recent results suggest that is now possible, although still very difficult, to build computational and formal models of how children learn language. This paper will review some r

一夫一妻制

A stochastic search approach to grammar induction,nduction. This last work has been inspired by the Abbadingo DFA learning competition [14] which took place between Mars and November 1997. SAGE ended up as one of the two winners in that competition. The second winning algorithm, first proposed by Rodney Price, implements a new evidence-driven heuri

壓倒性勝利