用不完
发表于 2025-3-23 12:45:33
Heinrich-Otto Buja work accomplished in a model for automatic translation from written Spanish to MSL. The aims of this work were to encourage the conditions of a greater social inclusion of deaf and hearing impaired people, it also looked and contributed to the creation of linguistic resources in order to support fu
SOBER
发表于 2025-3-23 16:36:37
Heinrich-Otto Bujamount of redundancy in a document collection can be used for assigning importance to sentences in multi-document extractive summarization: for instance, an idea could be important if it is redundant across documents because of its popularity; on the other hand, an idea could be important if it is no
完成
发表于 2025-3-23 20:48:53
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Schlemms-Canal
发表于 2025-3-23 23:48:00
Heinrich-Otto Bujaze the degree of cohesiveness of their components. For the verb-noun combinations which turned out to be collocations, we determined their semantics in the form of lexical functions. We also observed what word senses are most typical for polysemous words in the verb-noun combinations under study and
ADAGE
发表于 2025-3-24 04:21:48
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简略
发表于 2025-3-24 08:02:38
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混合,搀杂
发表于 2025-3-24 14:21:24
Heinrich-Otto Bujalemented using Hidden Markov Models, where decisions over the acquisition of new data are made based on the entropy of the posterior distribution of the activities. This problem is intractable in general, so three different active sensing algorithms are implemented to find numerically the data acqui
要塞
发表于 2025-3-24 16:01:50
Heinrich-Otto Bujastill been processed. The last represents the most important source of biological information nowadays due largely to its use over many years, and a very important potential source of genetic knowledge deserving appropriate analysis. Thanks to the two techniques, there is now a huge amount of data t
圆桶
发表于 2025-3-24 22:09:12
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Expiration
发表于 2025-3-25 00:42:16
Heinrich-Otto Buja imagery tasks for brain-computer interfacing (BCI), which is a hard problem involving a relatively small number of high-dimensional training patterns where curse of dimensionality issue has to be taken into account and feature selection is an important requirement to build a suitable classifier. Ev