edit distances造句
造句與例句
手機(jī)版
- Meeting the difference of text retrieval and sentence retrieval, a new method using integrating anaphora resolution, improved edit distance and vector space model is proposed in this paper . on factoid question type, the precision of answer sentence retrieval is up to 84.71 %
針對(duì)文本檢索和句子檢索之間的區(qū)別,本文主要采用指代消解預(yù)處理,改進(jìn)的編輯距離與向量空間模型相結(jié)合的方法,對(duì)factoid問(wèn)題的答案句檢索效果顯著,準(zhǔn)確率為84.71%。 - This feature perfectly combine the frequency in acoustics level and the temperament in music semantic level, we use the cosine distance of this feature to represent the similarity of two music clips, then we design a group of algorithms that is inspired from the thought of edit distance and dynamic programming . they segment the feature vectors into groups at first, then through group similarity match, group recurrent detect, merge recurrent group and structure label joined algorithms to complete the music structure label task . because this is a really new field of research and no good method of evaluation had been finding, we propose a new evaluation method and the results of the experiments show that it is a good method
然后設(shè)計(jì)了一組源于編輯距離和動(dòng)態(tài)規(guī)劃思想的音樂(lè)結(jié)構(gòu)分析算法,首先將特征向量分組,然后經(jīng)過(guò)組相似匹配、組重現(xiàn)檢測(cè)、重現(xiàn)組歸并和自動(dòng)標(biāo)注四個(gè)前后銜接的環(huán)節(jié)實(shí)現(xiàn)了音樂(lè)結(jié)構(gòu)的自動(dòng)標(biāo)注,較好地實(shí)現(xiàn)了將音頻形式的音樂(lè)自動(dòng)標(biāo)注為表示音樂(lè)結(jié)構(gòu)的三元組列表形式,由于這是一個(gè)新的領(lǐng)域,目前還沒(méi)有比較好的量化評(píng)價(jià)方法,本文提出一種新的評(píng)價(jià)方法,并用它來(lái)評(píng)價(jià)結(jié)構(gòu)分析的結(jié)果,取得了較好的效果。 - It's difficult to see edit distances in a sentence. 用edit distances造句挺難的
如何用edit distances造句，用edit distances造句，edit distances in a sentence, 用edit distances造句和edit distances的例句由查查漢語(yǔ)詞典提供，版權(quán)所有違者必究。