statistical machine learning

基本解釋

Recently, many researchers try to handle coreference resolution with statistical machine learning and gain some achievement.
近年來(lái)，許多學(xué)者嘗試?yán)媒y(tǒng)計(jì)機(jī)器學(xué)習(xí)的方法來(lái)進(jìn)行共指消解并取得了一定的進(jìn)展。
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Statistical machine learning for translation services is now widely researched and is also used by some other websites, like Google Translate.
讓統(tǒng)計(jì)機(jī)器學(xué)做翻譯服務(wù)，目前受到了廣泛的研究，也在谷歌翻譯（Google Translate）等其他一些網(wǎng)站得到了運(yùn)用。
Statistical machine learning provides a statistical framework to improve the performance of classifiers or predictors learned from large amounts of training data collected from past experiences.
藉由大量學(xué)習(xí)資料，機(jī)器學(xué)習(xí)演算法利用統(tǒng)計(jì)理論在資料中分析過(guò)往經(jīng) 驗(yàn)，并增進(jìn)自動(dòng)分類器及預(yù)測(cè)器的準(zhǔn)確率。