舰旗
发表于 2025-3-28 17:53:44
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Stricture
发表于 2025-3-28 21:47:17
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枫树
发表于 2025-3-29 00:56:57
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Acumen
发表于 2025-3-29 06:08:51
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genuine
发表于 2025-3-29 08:05:47
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
发表于 2025-3-29 14:52:37
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Brittle
发表于 2025-3-29 19:09:10
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 “loose”
happiness
发表于 2025-3-29 22:06:43
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
发表于 2025-3-30 01:16:28
A stochastic search approach to grammar induction,nduction. This last work has been inspired by the Abbadingo DFA learning competition 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
压倒性胜利
发表于 2025-3-30 04:53:38
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