用機器學習 的英文怎麼說

中文拼音 [yòngjīqìxuéxí]
用機器學習 英文
learning by machine
  • 用 : Ⅰ動詞1 （使用） use; employ; apply 2 （多用於否定: 需要） need 3 （敬辭: 吃; 喝） eat; drink Ⅱ名...
  • 機 : machineengine
  • 器 : 名詞1. （器具） implement; utensil; ware 2. （器官） organ 3. （度量; 才能） capacity; talent 4. （姓氏） a surname
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 機器 : 1. （用來轉換或利用機械能的機構） machine; machinery; engine 2. （引申為機構） apparatus; organ
  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. 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。
  3. 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。
  4. 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。
  5. During the procedure of system design and implementation, the author has made some innovative efforts such as : ( d establishing the user interest orientated model, the model receiving user interests continuously and conjecturing user interests by interaction with the user, accumulating user preferences in information demand, thereby achieving self - adaptive retrieval, ? roviding a feedback method which is based on the human - machine interaction, summarizing the user operations on the interface of result presentation, and designing an algorithm for capturing user operation behaviors, by which the changes in user interests and preferences can be learned potentially, ? ffering a method for user interest mining which can extract subjects of information confirmed by user, thereby conjecturing or predicting different kinds of expressions of the same interest or extracting the new interests or unexpressed interests, ? roposing a solution of personalized internet information retrieval based on the user interests in accordance with the above - mentioned work, the solution having very strong feasibility and practicality with taking user interest model as center, employing machine learning ( active learning and passive learning ) and data mining as tools, and being assisted with network robot,

    Piirs系統分析與設計過程中所做的創新性的嘗試主要有以下幾個方面：實現了基於用戶興趣的用戶模型，該模型通過與用戶的交互（主動交互和被動交互） ，不斷地接收用戶的興趣和推測用戶的興趣，積累用戶信息需求的偏好，實現自適應的檢索；提供了一種基於人機交互的反饋方法，對用戶在結果呈現界面上的操作進行了歸納總結，設計了用戶操作捕獲演算法， 「隱性地」學習用戶興趣和偏好的變化；提供了一種用戶需求挖掘的方法，對用戶已確定的信息做進一步的主題挖掘，由此推測或預測用戶同一興趣的不同表述方式或者挖掘出用戶新的或未表達出來的興趣；在上述工作基礎上提出了一套完整的基於用戶興趣的個性化網路信息檢索的解決方案，該方案以用戶興趣模型為中心，以機器學習（主動學習和被動學習）和數據挖掘為手段，輔以網路機器人，具有很強的可行性和實用性。
  6. 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。
  7. 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。
  8. 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。
  9. 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。
  10. Genetic algorithm ( ga ) is a set of new - global - optimistic search algorithm repeatedly which simulate the process of creature evolution that of darwinian ' s genetic selection and natural elimination

    遺傳演算法是模擬達爾文的遺傳選擇和自然淘汰的生物進化過程的一種新的迭代的全局優化搜索演算法，已經廣泛地應用到組合優化問題求解、自適應控制、規劃設計、機器學習和人工生命等領域。
  11. The same ocr techniques that are used for scanning a document could find all the text in the images and feed it to a machine - learning filter

    目前掃描文件用的光學文字辨識技術，可找出影像里的所有文字，再把文字輸入機器學習過濾器。
  12. An experienced human operator may have little knowledge about a complex system but can still doing good job in system control and fault diagnosis by observing signals of inputs and outputs. therefore, the problem is, can we use some techniques of machine learning and artificial intelligent to mimic the human ability of " learn to control "

    在實際工業生產中，工程技術人員在對系統機理和數學模型知之甚少的情況下通過觀察和經驗總結，仍然能夠對系統進行良好的手動控制和及時的故障診斷，因此完全可以採用機器學習的智能方法模擬人的這種通過觀察學習進行控制的能力。
  13. Comprises useful routines for machine learning in general and for rough set theory in particular

    它由許多用於通用機器學習和粗糙集理論的常式組成。
  14. In our research, machine learning is used to find the pattern

    本文用機器學習的方式來識別監控模式。
  15. My thesis focuses on analysis network audit data using data mining, and mine rules about intrusion detection. intrusion detection efficiency is improved by using machine learning methods, thereby enhance adaptation of intrusion detection

    本文主要從數據挖掘的角度對網路數據進行分析，發掘出入侵檢測的模型，用機器學習的理論改進入侵檢測的效率，提高入侵檢測的自適應性。
  16. Not only the extraction of term information and rules is automatic, but also the system will be fit for new condition just by changing training corpus without any manual intervention

    此方法中專有名詞詞語信息和規則的提取完全採用機器學習的方式，具有在不受人工干預的情況下，改變訓練樣本即可適應新環境的特點。
  17. There are eight features used to form the feature vector for each sentence, and the summarizer is gained by machine learning algorithms, so automatic summarization is changed into classification task

    用這些特徵構成句子向量表示，並用機器學習的方法對其進行訓練得到摘要器，從而把自動文摘轉換為分類問題。
  18. We attempt to exploit various machine - learning techniques to learn the heuristic knowledge from users " experiences, so that the image segmentation system can have some human ability in adaptively selecting optimal algorithm and corresponding parameters. learning based image segmentation system can be classified i

    希望使用機器學習的技術，通過從用戶對訓練圖像集的分割和評價中學習相應的啟發式知識，以此使系統能夠根據圖像的特徵，為不同的圖像靈活的選擇參數或演算法，從而自動實現令人滿意的分割。
  19. Making use of machine learning methods, especially reinforcement learning methods, to realize the optimization and the adaptiveness of the autonomous navigation controller for mobile robots becomes an important research topic not only in robotics but also in artificial intelligence

    應用機器學習特別是增強學習方法實現移動機器人自主導航控制器的優化設計和對未知環境的自適應，是近年來機器人學和人工智慧界的一個重要研究課題。
  20. Nowadays, researchers have given evaluation target, indicator and method. there are a lot of researches focused on kinds of specific internet resources as well, that evaluation of technicality websites artificial, of web pages ’ significance based on link analysis using pagerank and hits algorithms and the appraisal of web blocks partitioned from web page using machine learning algorithm

    另外，針對具體網路對象評價研究也取得了一些成果，主要針對學術網站進行人工評價、網頁重要性基於鏈接關系的評價給出了經典的pagerank 、 hits等演算法，同時，採用機器學習方法對網頁中分塊信息的重要程度的評價研究等。
分享友人
分享到 Line

分享到臉書