機機學習 的英文怎麼說

中文拼音 [jījīxuéxí]
機機學習 英文
learning by chance
  • 機 : machineengine
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  1. Finally, all the above theoretical results are applied to the analysis of mellituria ii and monks problems. the conclusion is encouraging after the comparison with home precious machine learning algorithms including id family and aq family

    最後將本文的理論結果應用於糖尿病病因分析和monks問題，並且把rs方法與傳統的機器學習演算法id家族和aq家族從理論上和實驗上進行了比較，在準確度和規則簡潔度等方面得到了令人鼓舞的結果。
  2. N., olejnik, s., & bashaw, l. ( 1991 ) index robustness and effectiveness of rasch appropriateness measurement in unusual response pattern analysis

    努力分數的?饋對國中生英語科的抱負水準、成就動機與學習效果之影響。
  3. Immune evolutionary algorithms are optimal algorithms in essence, therefore, they can be used in some fields, such as cybernation, pattern recognition, optimal design, meshing learning, network security, etc. there are also some examples of these attempts described in this paper

    免疫進化計算在本質上講是一種優化演算法，所以它們可以應用於一些諸如自動控制、故障診斷、模式分類、圖象識別、優化設計、機器學習和網路安全性等廣泛領域，本文在這方面也做了一些初步的嘗試。
  4. Alex is a man of principles and a scholar in archaeology. as a late - comer to the team, i was eager to join field excursions, whether they may be an archaeological excavation on sha chou island or ethnographical collection trips to remote villages

    作為最後歸隊的一員，我常參與田野考古工作，不論是鼓灘外沙洲島的考古發掘，或是到偏遠鄉村的探訪收集工作，我都爭取機會學習。
  5. Every student has an opportunity to study.

    每一個學生都有機會學習。
  6. So we draw the conclusion that the new method can reduce the uncertainty and illegibility of tf idf method in many aspects without more work

    山東帥范大學礬上畢業論文知識求精是知識獲取必不可少的步驟，機器學習是使計算機具有智能的有效手段， 0 。
  7. As for the representation of the individuated pattern - base, we introduces a new classification representation method based on multi - users and multi - topics, so as to make each profile only denote one user ' s one topic. this method makes it possible to express explicitly the user ' s interest. as for the creation of the individuated pattern - base, we adopt the hopfield neural network model, which has the function of ample association and remembrance and may be used to associate with the user ' s interest to create the initial individuated pattern - base

    對于個性化模式庫的表示，本文給出了一種多用戶多主題的分類表示方式，使得每個profile文件只表達一個用戶的一個主題，可以更清晰的表達用戶的興趣；對于個性化模式庫的建立，本文採用了機器學習中的hopfield神經網路模型， hopfield網路具有豐富的聯想記憶功能，可以用來對用戶興趣進行聯想，建立用戶的初始個性化模式庫；對于個性化模式庫的維護，採用了基於用戶反饋的學習方法。
  8. Mahout ' s goal is to build scalable, apache licensed machine learning libraries

    目標建立一個可擴展，遵從阿帕奇協議的機器學習庫。
  9. 13 selfridge o g. pandemonium : a paradigm for learning. in proc. the symp

    作為人工智慧的一個重要分支，機器學習是利用機器模仿人類的智能行為。
  10. The support vector approach learns a parsimonious regression model from the given data to avoid the data over - fitting problem

    支援向量?歸方法可以在給定的資料中產生一個簡潔的?歸模式，以避免傳統機器學習法中的資料過度學習問題。
  11. 13 milo t, zohar s. using schema matching to simplify heterogeneous data translation. in proc. the 24th int

    這一層即是調解器層，它利用一個規則集合，結合機器學習來匹配和集成模式中的要素。
  12. One class classification is a machine learning approach different from the traditional pattern recognition approach where two or more class samples are required. however in some real - life cases, we can hardly, even not, get the samples of some classes, or have to pay costly price to obtain the so - needed samples, such as in the case of machinery malfunction. and while in other cases, the sizes of samples among classes are imbalance, such as medical diagnosis

    單類分類器是不同於傳統模式識別的一種機器學習方法，傳統模式識別方法一般需要多個類別的樣本（至少兩個） ，而在有些場合中，幾乎無法獲取多類的樣本，或者獲取其樣本所需花費的代價非常高，比如：機器故障中我們不可能為了去獲得故障樣本而讓機器特意產生故障；又有些場合的類別樣本個數嚴重不平衡，比如醫學上的疾病特徵與非疾病特徵的比例是嚴重不平衡的。
  13. Specially adapted courses give children ( aged 8 - 12 ) and teenagers ( aged 13 - 18 ) the opportunity to learn anapana meditation ( the first stage in vipassana ) during a one - day course

    一個專為兒童（八至十二歲）以及青少年（十三至十八歲）而設的一日課程，以便讓他們有機會學習到觀息靜坐（內觀的第一階段） 。
  14. By mapping input data into a high dimensional characteristic space in which an optimal separating hyperplane is built, svm presents a lot of advantages for resolving the small samples, nonlinear and high dimensional pattern recognition, as well as other machine - learning problems such as function fitting

    Svm的基本思想是通過非線性變換將輸入空間變換到一個高維空間，然後在這個新的空間中求取最優分類超平面。它在解決小樣本、非線性及高維模式識別問題中表現出許多特有的優勢，並能夠推廣應用到函數擬合等其他機器學習問題中。
  15. Most knowledge discovery or data mining tools and techniques are based on statistics, machine learning, pattern recognition or artificial neural networks

    大多數的知識發現或數據挖掘工具和技術是基於傳統的統計、機器學習、模式識別或人工神經網路。
  16. Classification is to predict the class label of unknown data with supervisor obtained from experiential data, which is a basic problem in pattern recognitionx machine learning and statistics, as well as in data mining

    分類即通過由經驗數據訓練得到的分類器預測未知數據的歸屬，是模式識別、機器學習、統計分析等領域的一個基本問題，也是一種最常見的數據挖掘任務。
  17. A double - bagging machine - learning algorithm was used to train classification rules on the basis of a combination of fdt scores and nerve fiber related visual field losses in swap

    在聯合fdt評分和swap神經纖維相關的視野缺損基礎上用雙相機器學習系統排列分類法則。
  18. Which refers to the theory, methods and applications of using ec, combining with decision making analysis ( dma ), to solve idm problems

    進化決策定義為：結合作為機器學習方法的進化計算和傳統決策分析技術，求解智能決策問題的理論、方法和應用的總稱。
  19. In many institution there is not good management of the laboratory, study environment is confusion and the management of devices is inconveniently, cost too much to maintain, now need a system to manage the laboratory urgently

    在很多院校里沒有很好的對實驗室的管理方式，學生上機學習比較混亂，機器管理起來很不方便，維護代價太大，迫切需要一個對學生的上機進行管理的系統。
  20. Learning by chance

    機機學習
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