非計算機盲的 的英文怎麼說
中文拼音 [fēijìsuànjīmángde]
非計算機盲的
英文
computerate- 非 : Ⅰ名詞1 (錯誤) mistake; wrong; errors 2 (指非洲) short for africa 3 (姓氏) a surname Ⅱ動詞1 ...
- 計 : Ⅰ動詞1 (計算) count; compute; calculate; number 2 (設想; 打算) plan; plot Ⅱ名詞1 (測量或計算...
- 算 : Ⅰ動詞1 (計算數目) calculate; reckon; compute; figure 2 (計算進去) include; count 3 (謀劃;計...
- 機 : machineengine
- 盲 : 形容詞(看不見東西; 瞎) blind
- 的 : 4次方是 The fourth power of 2 is direction
- 計算機 : computer; calculator; calculating machine; computing machinery; electronic wizard; processor; pro...
- 計算 : 1 (求得未知數) count; compute; calculate; reckon; enumerate 2 (考慮; 籌劃) consideration; pla...
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Comparing with non - bnyain methods, it ' s prominent featares lay in that it combines the prior and posterior information, which avoids the disadvantag of subjective bias caused by simply using the prior information only, of blind search caused by the incomplete sample information, of noise affection caused by simply using the sample information only if we choice a suitable priof, we can conduct the bayesian leaming effectively, so it fits the problems of data mining and machine leaming that possess charaters of probability and statistics, especially when the samples are rare
與非貝葉揚方法相比,貝葉斯方法的特出特點是其學習機制可以綜合先驗信息和后驗信息,既可避免只使用先驗信息可能帶來的主觀偏見,和缺乏樣本信息時的大量盲目搜索與計算,也可避免只使用樣本信息帶來的噪音的影響只要合理地確定先驗,就可以進行有效的學習。因此,適用於具有概率統計特徵的數據採掘和機器學習(或發現)問題,尤其是樣本難得的問題The problem of source separation - separation of one or more desired signals from mixed recordings of multiple signals - has traditionally been approached by using multiple microphones, in order to obtain sufficient information about the incoming speech signals to perform effective separation. typically, no prior information about the speech signals is assumed, other than that the multiple signals that have been combined are statistically independent, or uncorrelated with each other
但是要在計算機上實現人耳的這個能力是非常困難的,這就是計算機模擬人耳功能的盲信號分離問題( bss ) ,即要從混合在一起的聲音信號中分離出一個或者多個感興趣的聲音信號出來,而事先我們對混合在一起的聲源信號的情況是根本不知道的。Under the frame of natural gradient algorithm, an ica algorithm based on adaptive kernel estimation is proposed, which can separate arbitrary mixed signals ( such as super - gaussian and sub - gaussian, symmetric and asymmetric signals )
摘要在自然梯度演算法的框架下,本文利用隨機變量概率密度函數非參數估計的自適應核函數法,給出了一種能夠對任意混合信號(超高斯和亞高斯信號,對稱和非對稱分佈信號)進行盲分離的演算法。Anyone can teach you to use a program, but unless you get the gist of what you ' re doing when the technology changes, you ' ll be left computer illiterate
任何人都可以教你使用一個程序,但當技術發生諸多變化時,除非你掌握了怎樣做的要領,否則你仍會成為一個計算機盲。分享友人