semantic frame 中文意思是什麼
semantic frame
解釋
語意架構-
The other parts is the study of the individuated intelligent agent based of concept semantic network built in the one parts, the agent build a individuated model on the frame of concept semantic network by analyzing the student " feedback information, and the line of the concept represent the correlation of the concept
第二部分是對個性化智能代理的研究，這一部分的研究是以第一部分研究為基礎的，即在概念語義網路的基礎上構建一個智能代理系統。該系統通過分析學生的反饋信息，在概念語義網的結構上建立學生的個人興趣模型，並通過對概念之間的連線表示概念的關聯程度。 -
Then discusses common knowledge representation method such as predicate logic, semantic network, production rule, frame etc. and probes into the application of predicate logic in epr system
然後，較詳細地討論了謂詞邏輯、語義網路、產生式規則和框架等常用的知識表示方法，重點研究了謂詞邏輯知識表示技術在電子病歷系統中應用問題。 -
Frame semantic approach to english lexicon teaching of college
框架語義理論與大學英語詞匯教學 -
In line with the english lexicon teaching aims of college, this paper attempts to improve english lexicon teaching by analyzing the building of the semantic frame, the prototype background frame, the change of perspective and the syntactic frame of lexicon in the field of english lexicon teaching
針對大學英語詞匯教學要求，通過分析框架語義理論中語義框架的建立、原型性背景框架、視角轉換與句法框架等問題，幫助提高大學英語詞匯教學的效果。 -
A comprehensive classification of linkage mechanism concerning the composition of primary cells, the pattern of motion driving, and the way of fixing to stationary frame is established with the corresponding semantic description
對軌跡曲線進行匹配運算，可快速地獲得滿足預定軌跡要求的機構設計方案，實現機構的反求設計。 -
Video object segmentation usually divides the contents of a video frame into semantic regions that can be dealt as objects
對視頻對象的分割通常是將視頻的內容分割成具有語義的區域，並進一步作為對象來處理。 -
Audio - video object - based coding and description are the distinct features of mpeg - 4 standard. in the mpeg - 4 standard, video frame was composed of a series of independent semantic video object, which was encoded independently
在mpeg - 4標準中，視頻幀被認為是由一系列相互獨立的運動對象組成，視頻幀的編碼也直接針對一個個視頻對象。 -
Firstly, the original image data is reduced to segmentation, which can be implemented, by low - pass filters and media filters, etc ; secondly, features of image data, i. e. color component, texture, motion, frame difference and semantic information will be extracted ; thirdly, the determination to segmentation with some uniform standard is made based on the features
本方案是基於像素點的聚類，分割得到的對象具有較好的邊緣效果並且不需要預先設定門限值。由於神經網路具有超強的容錯性，使得本方案對于受噪聲污染的圖像也具有一定的適應性。 -
In this paper, according to the approach and engineering reality condition, an semantic based information extraction system has been designed and wrote some codes and implemented the system, so in this paper, the main frame and the designing method of main modals in detail are introduced
根據上述方法並結合工程實際情況，設計了一個基於語義的信息抽取系統。在本文中，提出了基於語義的信息抽取系統的總體框架、各主要模塊的設計，還著重說明了基於語義的信息抽取方法。 -
Firstly, the semantic frame is presented, including the formal definition of actions, environment, agent, negotiation and multi - agent system, and the global states, class of ctn system, run and reachable states for ctn system are also defined
本文首先給出了該形式化系統的語義框架，包括行為、協商策略、環境、 agent 、協商和多agent系統的形式化定義，並對系統的全局狀態、系統類、系統運行和可達全局狀態做了描述。 -
This paper described the essential theory of expert system, and many kinds of knowledge expression, such as producing rule, semantic network frame, predicate logic, and knowledge expression in home. and it recommended many kinds of reasoning technology, such as positive chain, inverse chain, uncertainty reasoning. it depicted principle, essential character of com and realization of com
本文介紹了專家系統的基本理論，和產生式、語義網路、框架、謂詞邏輯等多種知識表達方式以及國內所採用的農業知識表達方式，並描述了正向鏈、反向鏈、不確定性等多種推理技術，還闡述了com原理及其基本特性，以及com組件的實現。 -
We explored the specific machine learning technique, i. e. bayesian technique in this paper, in the hope of automatically creating such kind of metadata from training data. we assigned wsdl documents to different categories using bayesian latent semantic model. with the frame of blsm, our system classified wsdl documents only by a few of latent class variables and no labeled data
本論文中基於貝葉斯技術的web服務分類演算法的主要思想是通過引入貝葉斯潛在語義模型，首先將含有潛在類別主題變量的wsdl文檔分配到相應的類主題中；接著利用樸素貝葉斯模型，結合前一階段的知識，完成對未含類主題變量的文檔作標注。
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