貝式學習 的英文怎麼說
中文拼音 [bèishìxuéxí]
貝式學習
英文
bayesian learning-
Under the guidance of the theory of constructivism and learning and teaching by osubell, this thesis makes a circumscription on the it - assisted teaching, and in the mean while, makes a discuss on the teaching target, teaching principle and teaching mode for it - assisted teaching of general physics course. therefore, a prime study is made on the related issues about it - assisted teaching mode of the general physics after our theoretic analysis and educational experiments
本論文是在建構主義學習理論、奧蘇貝爾的「學與教」理論的指導下，對網路輔助教學進行了界定，同時探討了針對普通物理課程的網路輔助教學的教學目標、教學原則和教學模式，最後通過理論分析和教育實驗對普通物理課程網路輔助教學模式的有關教學問題進行了初步的研究。Cbr systems have lots of strongpoints, such as the completely expressing of the information, the incrementally learning, the precisely simulating of the visualized thought, the conveniency of the obtaining knowledge, the h igh efficiency of solving new things and so on
Cbr的顯著優點有：信息的完全表達，增量式學習，形象思維的準確模擬，知識獲取較為容易，求解效率高等。本論文研究了貝葉斯網路、範例推理以及貝葉斯網路在範例推理中的應用。Based on meaningful learning theory of ausubel and rogers, series of english teaching model have been prvoided, which will enhance the efficency of english teaching and interest of learning english in the future
文章以奧蘇貝爾和羅傑斯的有意義學習理論為基礎，提出了高職高專英語教學中的一系列的英語教學模式，以進一步提高英語教學效率和學生學英語的興趣。Within the framework of sparse bayesian learning, the algorithm extends the relevance vector machine by combining global and local kernels adaptively in the form of multiple kernels, and the improved locality preserving projection ( llp ) is then applied to reduce the column dimension of the multiple kernel input matrix to achieve less training time
在稀疏貝葉斯學習的框架下，該演算法首先以多核形式自適應結合全局核函數和局部核函數擴展相關向量機，然後應用改進的保局投影來約簡多核輸入矩陣的列維數以減少訓練時間。Classification has always been a central issue on data mining, machine learning and pattern recognition, classifier, as an important model and method of machine learning and data mining, is very important to the development and application of machine learning and the data mining. the classifier ’ s effect closely correlates with the characteristic of data sets, at present, the construction of classifier is generally based on the character of different datasets, there is no such a classifier which is suitable for any data sets. under uncertain conditions, the bayes network is a powerful tools for the knowledge expression and inference, but for difficulties in constructing its network structure and very high time complexity, it has not been considered as a classifier algorithm until the emergence of na ? ve - bayes classifier
分類一直是數據挖掘、機器學習和模式識別等研究的核心問題，貝葉斯網路是作為知識表示和推理的強大工具，由於搜索空間巨大和學習困難的原因，直到樸素貝葉斯理論的出現才被作為分類器演算法，改進樸素貝葉斯分類器是貝葉斯分類器學習的一個主要的研究方向。遺傳演算法本質上是一種求解問題的高效并行全局搜索演算法，適合應用於那些改進的分類器的結構學習中。本文提出了一種基於遺傳演算法的ban分類器演算法。This research addressed an urban traffic intelligent control system, which adopts a multi - agents coordination in urban traffic control to coordinate the signal of adjacent intersections for eliminating the congestion of traffic network. an agent represents a signal intersection control, and multi - agents realize coordination of multiple intersections to eliminate congestion. based on recursive modeling method and bayesian learning that enables an agent to select his rational action by examining with other agents by modeling their decision making in conjunction with dynamic belief update. based on this method, a simplified multi - agent traffic control system is established and the results demonstrate its effectiveness. it is very important for its
本文中提出一種城市交通智能控制系統，針對城市交通網路中相鄰交叉口的交通流可能相互沖突，即局部交通流的優化可能引起其他區域交通狀況的惡化的問題，採用多智能體協調控制方法來協調相鄰交叉口處的控制信號消除網路中的交通擁塞.提出以一個智能體的方式實現一個信號燈交叉口控制，對多個信號燈交叉口形成的交通網路採用多智能體協調控制的方式實現網路流量優化來消除擁塞.文中提出由遞歸建模和改進的貝葉斯學習相結合的多智能體系統來使智能體可以確定其他智能體的準確模型並實時更新信息，並基於上述方法在簡單的交通網路模型上建立了多智能體交通控制系統，模擬結果表明了方法的有效性，對實現智能交通系統有重要意義Bn is network structure with clarity semantics. lt exploits the structure of the domain to allow a compact representation of complex joint probability distribution. its sound probabilistic semantics, explicit encoding of relevance relationships, inference algorithms and learning algorithms that are fairly efficient and effective in pratice, and decision - making mechanism of facility, have led bn to enter the artificial intelligence ( ai ) mainstream. for the reasons that they have produced more and more practical values and economic profits in many important application fields, such as modern expert systems, diagnosis engines, decision support systems, and data mining systems, researchers from both industry and academia are thus taking them much seriously
它具有清晰語義的網路結構；它揭示領域對象的內在結構，是復雜全概率分佈的緊湊表示方式；其堅實的理論基礎、知識結構的自然表述方式、靈活的推理能力、方便的決策機制及有效的學習能力使其成為一種主要的不確定知識的處理方法。貝葉斯網路已經在專家系統、決策支持系統、數據挖掘系統和範例推理系統等許多重要領域產生應用價值和經濟效益。Its theoretical foundation to build and construct doctrine study theory, su the " learning and teach " theory, study dynamic roles of shellfish, realize that this mode concerns t hree major factors : teacher, student and network resource
其理論依據是建構主義學習理論、奧蘇貝爾的「學與教」理論、學習能動性原則等理論，實現該模式關繫到三大因素：老師、學生和網路資源。After expounding suhomlicky ideas of main body ' s taking part, gagne divided the whole teaching process into nine stages according to the information processing pattern of study and memory put forward by information processing psychology. he also told us how to design chemistry teaching process in order to give prominence to students. he did so in accordance with his understanding of ausubel ' s theories of structural knowledge and transferring
第一部分：理論分析綜述國內外有關教學過程中突出學生主體性的教育思想和教學模式，通過對蘇霍姆林斯基關于主體參與思想地論述；加涅根據信息加工心理學提出的學習與記憶的信息加工模型，把整個學習過程分成的九個階段；根據對奧蘇貝爾的認知結構理論與遷移理論的理解，提出化學教學中應如何設計教學程序，以突出學生主體性。In his research, professor bray found that the nature of tutoring is varied : " tutoring can be conducted from tradition form of one - to - one, in small groups or large classes to in huge lecture - theatres with overflow rooms by video
貝磊教授在研究過程中發現，補習教育的模式其實非常多元化: 「由傳統的一對一，以小組或大班形式授課，到在大型演講廳內，並播放即時錄影予學生等分享友人