unlabelled 中文意思是什麼
unlabelled
解釋
非示蹤的-
Monte carlo is a method that approximately solves mathematic or physical problems by statistical sampling theory. when comes to bayesian classification, it firstly gets the conditional probability distribution of the unlabelled classes based on the known prior probability. then, it uses some kind of sampler to get the stochastic data that satisfy the distribution as noted just before one by one
蒙特卡羅是一種採用統計抽樣理論近似求解數學或物理問題的方法，它在用於解決貝葉斯分類時，首先根據已知的先驗概率獲得各個類標號未知類的條件概率分佈，然後利用某種抽樣器，分別得到滿足這些條件分佈的隨機數據，最後統計這些隨機數據，就可以得到各個類標號未知類的后驗概率分佈。 -
Normal behavior and anomaly are distinguished on the basis of observed datum such as network flows and audit records of host. when a training sample set is unlabelled and unbalanced, attack detection is treated as outlier detection or density estimation of samples and one - class svm of hypersphere can be utilized to solve it. when a training sample set is labelled and unbalanced so that the class with small size will reach a much high error rate of classification, a weighted svm algorithm, i
針對訓練樣本是未標定的不均衡數據集的情況，把攻擊檢測問題視為一個孤立點發現或樣本密度估計問題，採用了超球面上的one - classsvm演算法來處理這類問題;針對有標定的不均衡數據集對于數目較少的那類樣本分類錯誤率較高的情況，引入了加權svm演算法-雙v - svm演算法來進行異常檢測;進一步，基於1998darpa入侵檢測評估數據源，把兩分類svm演算法推廣至多分類svm演算法，並做了多分類svm演算法性能比較實驗。 -
And it adds a - priori information into the patterns to change the method as a semi - supervised clustering. in the clustering process, the unlabelled patterns compare similarities with the labeled patterns, and then the accuracy of the algorithm can be increased. ( 3 ) the paper proposes an interactive learning - based image mining in remote sensing
由於遙感圖像各類別在特徵空間中散點圖的分佈的特點，本文對傳統的fcm聚類演算法進行改進，並且加入先驗信息之後，將原來的非監督的聚類變成一種半監督的聚類方法，通過與已標簽的樣本進行相似性比較，能有效地提高聚類演算法的準確度。 -
In the box, please state the name of the image and species, date, place and photographer. unlabelled images will not take part in the competition
同時請描述照片和物種，日期，地點和拍攝者。沒帖標簽的作品將無法參加競賽。 -
Subjects also reported storing multiple medications in the same container, which is dangerous since most drugs look alike. even medical professionals have difficulty identifying unlabelled pills, let alone elderly patients
由於很多藥物的外貌都很相似，將這些藥物放在同一個容器內，有時候連醫護人員也很難辨認，因此長者服藥也會有很高機會出錯。 -
While in the stage of document classifying, nntcs inputs feature vectors of the document to be classified, runs network with fixed weights, then compares the output with the predefined threshold to judge the class of the unlabelled document
而在文本分類的時候，輸入待分類文檔的特徵向量，運行固定權值的網路，得到的輸出值與閾值比較確定類別。 -
Data mining is the key step of kdd, which concerns on database, artificial intelligence, and statistics, etc. classification is the important content of data mining, which assigns dataitems in databases to a special class by constructing a classification function or model ( also be called classifier ). therefore, we can predict the unlabelled object classes with the classification model
分類是數據挖掘的一個重要內容，它通過構造一個分類函數或分類模型（也常稱作分類器） ，把數據庫中的數據項映射到給定類別中的某一個，從而能夠使用該模型來預測類標號未知的對象類。 -
At last, it can obtain the posterior probability distibution of each unlabelled classes by analysing these stochastic data. it is easy to get a stochastic sample that satisfies some special distribution through running a special markov chain, so mcmc ( markov chain monte carlo ) is the most common monte carlo bayesian method
運行一個特定的馬爾可夫鏈可以容易地獲得滿足某個特定分佈的隨機抽樣，所以馬爾可夫鏈蒙特卡羅（ mcmc ）是最常用的蒙特卡羅貝葉斯分類方法。
分享友人