supervised classifier

基本解釋

However, traditional supervised learning techniques typically require a large number of labeled examples to learn an accurate classifier.
然而，傳統(tǒng)的監(jiān)督學(xué)習(xí)算法需要標(biāo)記大量的訓(xùn)練樣本來建立滿意的分類器。
In this way, a two-dimensional gradient feature vector was constructed, and a supervised classifier was used to adaptively detect original edge pixels.
接著，用有監(jiān)督的分類器進(jìn)行分類，自適應(yīng)地檢測(cè)出初始的邊緣點(diǎn)；
With the suggested method, the disease named phrase recognition classifier has supervised learning(ability) and the ability of assimilating and utilizing domain knowledge.
由此實(shí)現(xiàn)的疾病命名短語識(shí)別分類器具備有監(jiān)督學(xué)習(xí)和利用領(lǐng)域知識(shí)的能力。

監(jiān)督分類
A novel supervised classifier for remote sensing data by employing clonal selection algorithm(CSA)is presented for solving the problems,e. g. local optimum and robustness,in remote sensing imagery classification.
針對(duì)遙感影像分類中的侷部極值、魯棒性等問題,提出基於尅隆選擇算法的遙感影像監(jiān)督分類方法。