orthodox approach 中文意思是什麼
orthodox approach
解釋
傳統方法-
At the soonest approach concerned the theoryon after liberation was producer goods precedence growth, two greater part proportional relation and others, present research tend to industrial structure fluctuant resource allocation effect, industrial policy, traditional industry ' s adjustment and quantification research. industry organization theory is based on microeconomics, orthodox industry organization theory ' s basic feature is scp analyses paradigm, primary school has harvard as well as non - mainstream ' s chicago school, innovation school and neo - austrian school. hotspots in our country recent years are enterprise size, industrial concentration, market structure, as well as relation to performance, entering and exit mechanism and industrial system policy. this article takes over evolutionary economics ' s analytical approach to analyse institution and technology change, which may affect manufacturing industry, and using evolutive viewpoint to research competition, regional cooperation. based on industrial economics ' s theory, the artical puts forward that manufacturing industry take the leading function in economic structure transformation, manufacturing industry ' s laging is maxima drawback for the agro - industry change, and others
產業結構理論早在威廉?配第的著作中已有論及，要點是產業間的相對收入差異導致勞動力的部門流動；后來又有關于勞動力在三次產業間移動趨勢的研究，產業結構演替規律的分析，工業化過程與后工業化社會，工業結構的高加工度、高技術化及產業結構軟化等問題的研究，我國建國後有關的理論最早探討生產資料優先增長、兩大部類比例關系等，目前的研究則趨于對產業結構變動的資源配置效應、產業政策、傳統產業調整進行定量化研究。產業組織理論以微觀經濟學為基礎，正統的產業組織理論的基本特徵是scp分析範式，主要有哈佛學派和芝加哥學派、新制度學派和新奧地利學派。 -
Unlike approach theory in orthodox statistics, statistical learning theory especially studies the law of machine learning when samples are finite. it has proved the bound of actual risk is made up of experiential risk and belief bound. vc dimension is used to control generation ability ; structural risk minimization induce principle is used to control the bound on the value of achieved risk by controlling experiential risk and belief bound at the same time
不同於傳統統計學的漸進理論，統計學習專門研究有限樣本情況下的機器學習規律，它從理論上證明了實際風險的界是由經驗風險和置信范圍兩部分構成的，並給出了控制置信范圍的方法vc維。
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