likelihood criterion 中文意思是什麼
likelihood criterion
解釋
似然準則- likelihood : n. 1. 可能（性）。2. 【數、統】似然，似真。3. 〈古語〉希望，前途。
- criterion : n. （pl. -ria） （評判等的）標準，準則。
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The first, the house property evidence that you say is collective is not quite clear, the likelihood is public house, also may be room of unit property right, if be public house, criterion the room that property right belongs to a place runs a department, namely the country is all, ordinary individual is only ok hire, can not acquire building property ; if be unit property right, also divide kind of case, it is property right of this building independence, can deal with formalities of change the name of owner in a register to acquire building property to house property branch, 2 it is house of a few flatlet has card of a property right, criterion the ability after this unit must deal with property right to break up is ok change the name of owner in a register arrives your under one ' s name
第一，你說的房產證是集體的不夠清楚，可能是公房，也可能是單位產權房，假如是公房，則產權屬于地方的房管部門，也就是國家所有，一般個人只可以租用，不可以取得房屋所有權；假如是單位產權，也分兩種情況，一是該房屋獨立產權，可以到房產部門辦理過戶手續取得房屋所有權，二是幾套房屋擁有一個產權證，則該單位必須辦理產權分割后才可以過戶到你名下。 -
While the method in this paper is based on maximum likelihood criterion, which ensures accuracy of signal receiving
而本文的方法是基於最大似然準則的，確保信號接收準確。 -
This thesis also focuses on the way of modeling and evaluating the language model for lvsr and introduces detailed the linear and kneser - ney smoothing techniques and the strategy to estimate the discounting parameters using maximum - likelihood criterion
同時本文還就大詞匯表語音識別系統的語言模型的構建以及評估問題進行深入探討，詳細介紹了線性平滑和kneser - ney平滑技術，並用最大似然估計的方法獲得其平滑參數。 -
Firstly, e - hmm is used to parameterize face image, the output likelihood of the e - hmm is encoded to form the input vector and is sent to the ann. by taking advantage of the discriminative training of ann, the weak discrimination of the maximum likelihood criterion can be improved, and the recognition performance can be improved by means of the learning ability of ann
該混合識別網路用e - hmm的參數來描述人臉的整體性和局部細節性特徵，用e - hmm的輸出似然值序列組成ann的輸入矢量，利用ann的鑒別訓練能力來克服e - hmm的基於最大似然準則訓練演算法區分力較差的弱點，同時利用ann的學習能力來提高e hmm的識別性能。 -
Anderson, amemiva and fujisawa et al scholars extended the growth curve model into the one with random effects and considered the likelihood ratio criterion ( lrc ) for its mean structure, where the random vectors follow normal distribution on the assumptions that random effects and random errors are mutually independent [ 1 ] [ 2 ]
Anderson ， amemiva和fujisawa等學者將gc模型推廣為含有隨機效應的增長曲線模型（ thegrowthcurvemodelwithrandomeffects ） ，並在觀察矩陣服從正態分佈的條件下作了關于均值的廣義線性假設似然比檢驗。 -
We propose a sar image segmentation method based on the criterion of likelihood difference
提出一種以似然差函數作為相似性衡量林準的sar圖像分割方法。 -
In this paper, we aim at the research to the decoding algorithm of turbo product codes, according to the principles of the log - likelihood ratio and the maximum a posteriori criterion, bunt the log - likelihood ratio approximating expression, form the correct strategy of iterative soft decoding, and present the optimal algorithm through software
幾乎所有tpc的應用研究都集中於採用矩陣交織，軟進/軟出（ siso ） 、重復譯碼的方式上。本文主要是針對tpc譯碼演算法進行研究，依據對數似然概率（ llr ）和最大后驗準則的原理，推導出對數似然概率估算的近似公式，形成tpc重復軟譯碼糾錯演算法，並通過軟體實現。 -
Abstract according to the defect of the conventional bayes " method in the geomechanical engineering back analysis, expanding bayes " method was established in this paper. with the applications of the probability theory and the mathematical statistics principle, the geomechanical engineering random back analysis objects function was founded based on the aic criterion of the decision information theory and the maximum entropy criterion, a the matching question between the observed information and the previous information of the conventional bayes " method were proposed. in addition, the least square method, maximum likelihood method and conventional bayes " method were unified in form
本文針對巖土工程反分析中使用的傳統貝葉斯法中存在的缺陷，提出了擴展貝葉斯法，從概率論和數理統計的原理出發，建立了基於決策信息論中aic準則和最大熵準則的巖土工程隨機反演的準則函數，解決了傳統貝葉斯法的觀測信息與先驗信息的匹配問題，並從形式上完成了目前常用的最小二乘法、最大似然法及傳統貝葉斯法準則函數的統一，並可由觀測數據的質量和數量進行預測模型的辨識。 -
Second, we proposed a sar image segmentation based on the criterion of likelihood difference. simulations verify the effectiveness of this method
第二種方法是以一種似然差函數作為區域相似性的衡量標準，進行合理的區域分割。
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