監督演算法 的英文怎麼說

中文拼音 [jiāndūyǎnsuànfǎ]
監督演算法 英文
monitor algorithm
  • 監 : 監名詞1. （古代官府名） an imperial office 2. （姓氏） a surname
  • 督 : Ⅰ動詞（監督指揮） superintend and direct Ⅱ名詞（姓氏） a surname
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 監督 : 1 （察看並督促） supervise; superintend; control; monitoring; supervision 2 （監督人） supervisor...
  1. In this paper, we made an investigation into texture feature extraction and classification based on statistic method and its application in multi - spectral image classification. the research works of this paper have been done as follows : firstly, in order to overcome the weakness of gray level co - occurrence matrix ( glcm ), a new unsupervised texture segment algorithm, based on multi - resolution model, is presented in this thesis

    本文主要研究了基於紋理統計特性的特徵提取與分割方法，並將其用於實際的多光譜圖像分類，具體工作如下:第一，針對傳統灰度共現陣方法中特徵提取的尺度單一問題，本文提出了一種多分辨無監督紋理分割演算法。
  2. Supervised learning of heuristic function for refutation

    反演啟發函數的監督學習演算法
  3. Based on unsupervised learning, sparse coding is suitable to describe images with non - gaussian distribution and can get rid of the high order redundancy among the image pixels. since the basis function of sparse coding has build - in clustering property, it increases the inter - class variations of the features

    稀疏編碼是一種基於非監督學習的演算法，它適合描述具有非高斯分佈的數據對象，能夠有效地消除圖像象素點之間的冗餘，並具有內在的聚類特性。
  4. The results of the experiments are then discussed in detail. the applications of polarimetrtic interferometry in the classification of the land cover of sar images are studies in the end of the disse

    最後，論文研究極化干涉在sar圖象地物分類中的應用，給出極化干涉非監督wishart分類演算法及其處理步驟，並對實驗結果進行分析。
  5. 3 ) k - mean clustering algorithm is used classification. the category is two, according to the object and the experience knowledge

    3 ）應用無監督分類演算法中k均值（ k - means ）聚類演算法對輸入特徵向量進行分類。
  6. Approaches of immune computing, namely the aine model for unsupervised learning, airs model for supervised learning and the improved model of negative selection algorithm are exploited in an integrated way

    綜合運用aine無監督學習模型、 airs有監督學習模型和文中給出的陰性選擇演算法改進模型，提出了基於免疫計算的機構軌跡綜合方法。
  7. The supervised and unsupervised learning diagnosis methods are discussed and several improvements have been presented in the learning algorithms. the simulation results show that the proposed method can perforfti correct diagtioals iii the linear analog circuits with tolerances

    本文對模擬故障診斷的有監督學習和無監督學習方法分別進行了研究，通過對實現過程的分析，對經典的學習演算法進行深入研究，並提出若干改進。
  8. The main work includes : the research and conments about some recognition methods ; the research and comments about three kind of mathematics morphologic arithmetic ; clustering ; matlab embedded in the vb ; the difference analysis in the dynamic image and so on

    主要做的工作包括幾種識別方法的研究與評述；三種數學形態學演算法的實現以及各自的優劣比較；利用無監督學習進行聚類以及matlab在圖像處理中的嵌入；動態圖像的差分分析等。
  9. This paper proposed some methods for finding out sure regions and ambiguous regions defined by lower and upper approximations in rough set theory. an applicable ending - criterion for semi - supervised back - propagation algorithm was proposed and a new rough classifier framework was studied, the assessment results show the effectiveness of the proposed criterion. a new classifier based on support vector machines was studied and applied

    本文提出了幾種劃分樣本邊界區的方法:提出了一種應用於半監督bp演算法的實用結束判據，並根據粗糙集理論，研究了一種新的粗糙分類機制，取得良好的效果；應用支持向量機理論，構造分類器並劃分樣本邊界區；最後研究多個分類器集成的方法尋找樣本邊界區，同樣提高了暫態穩定評估的可靠性
  10. 9 blum a, kalai a. a note on learning from multiple - instance examples. machine learning, 1998, 30 : 23 - 29. 10 maron o, lozano - p erez t. a framework for multiple - instance learning

    本文分析了若干具有代表性的多示例學習演算法，揭示出監督學習方法可以轉化為多示例學習方法，只需將學習方法的注意焦點從對示例的區分轉變到對包的區分。
  11. It overcomes the limitation in the assumption in other semi - supervised learning algorithms that probabilistic distribution of data is known, and has the strong ability of learning new patterns and correcting errors because of stability and plasticity of the adaptive resonance theory

    在該系統中取消了一般半監督學習演算法中假定已知數據概率分佈的條件限制，利用自適應諧振理論的穩定性和可塑性，使其具有非常強的學習新模式和糾正錯誤能力。
  12. Secondly, aiming at the necessity of pixel - based tongue color classification system, this dissertation proposes a 2 - stage fcm algorithm. it applies the techniques of pattern classification and makes the better automation of tongue color model construction true

    其次，針對基於像素的舌顏色分類系統的需要，本文提出了一種「二次fcm演算法」 ，採用半監督學習的方式，較為自動化地解決了舌色苔色分佈模型的建立問題。
  13. This dissertation thus aims at helping the development of computerized tongue diagnosis and researching on the methodology of color training and classification of tongue images. the main contributions of this dissertation include : designing the framework of pixel - based tongue color classification system ; proposing the 2 - stage fcm algorithm and solving the tongue color model construction problem in pixel - based tongue color classification system ; proposing the dynamically local knn algorithm for tongue substance and tongue coating color classification, and improving the system speed greatly ; proposing the 12 - dimension feature vector of color ratio and applying it to color classification of tongue image ; doing research on the automatic diagnosis of diseases and symptoms using color, texture and shape information

    本文的主要貢獻在於:設計了基於像素的舌顏色分類系統結構;提出了半監督學習方式的「二次fcm演算法」 ，解決了基於像素的舌顏色分類系統的舌色苔色分佈模型的建立問題;提出了「動態局部knn演算法」並將其應用於舌色苔色分類中，解決了舌色苔色分類的速度問題;提出了舌圖像的「 12維顏色比例特徵向量」 ，並應用其實現了對舌圖像的顏色分類;採用顏色、紋理和舌形的信息融合方式，對疾病和證候的自動診斷進行了研究。
  14. And this algorithms have been proved to be valid by computer analogize for two different model. after a detailed analysis of the glass furnace, put award a method of disassemble multivariable control : the upper levels use fuzzy supervise control, provide reference signal for lower level ; the lower level select and use a modified self - regulating fuzzy controller or a double closed - loop controller for time - sluggish system

    在分析窯爐特性的基礎上，以溫度系統為例，根據其被控參數多、大滯后、非線性等特點，提出分層分區的智能控制策略：上層採用模糊監督控制器，為下層提供參考信息，下層根據控制要求及被控對象特性分別採用了一種改進的自校正控制演算法和一種適合於滯后過程的雙環模糊控制器。
  15. This approach is an unsupervised, statistical, data - driven approach

    這種演算法是一種無監督的、基於統計的、數據驅動的方法。
  16. Different from previous document clustering method based on nmf, our methods try to discover both the geometric and discriminating structures of the document space in an unsupervised manner, companied with high accuracy in acceptable computationally expensive

    與基於nmf演算法的文本聚類不同，我們的演算法力求以無監督的方式，在時間復雜度允許的范圍內，找到更適合於分類操作的數據向量間的幾何局部特徵向量及相應的各文檔的編碼向量。
  17. At the same time, we optimize the method by initializing the snmf with the spherical k - means and the nnls ( non - negative least squares ). by combination of snmf and the method lpi ( locality preserving indexing ), we get better performance in clustering accuracy

    同時採用球形k -平均演算法和nnls （非負最小平方差）演算法的結果初始化snmf演算法以達到改進和優化snmf演算法的目的;通過結合snmf演算法與lp （ i局部保留索引）演算法以實現在無監督的方式下取得更準確聚類結果的演算法。
  18. It also proposes a method of supervised learning to train the decision function and provides the corresponding method of calculation to realize it

    提出了一種通過監督學習來訓練判別函數的方法，並給出了相應的實現演算法。
  19. Journal of machine learning research, 2004, 5 : 913 - 939. 16 dempster a p, laird n m, rubin d b. maximum likelihood from incomplete data via the em algorithm

    這個一般性的法則揭示了多示例學習與監督學習之間的聯系，為多示例學習演算法的設計提供了一種通用的途徑。
  20. Okay you ' ll say this is what we can do simply by training some randomly initialised neural network ( nn ) with a supervised or unsupervised algorithm

    好的，你也許會說我們僅要做的就是訓練一些隨機初始化的有或者沒有監督演算法的神經網路. 。
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