Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dictions is daunting We discuss drawbacks with previous approaches to dealing with this problem
標(biāo)簽： polynomial regression weighted instance
上傳時(shí)間： 2013-11-28
上傳用戶(hù)：sunjet
Lacoally weighted Regression source code
標(biāo)簽： Regression Lacoally weighted source
上傳時(shí)間： 2015-04-15
上傳用戶(hù)：sxdtlqqjl
Another Locally weighted regression
標(biāo)簽： regression weighted Another Locally
上傳時(shí)間： 2015-04-15
上傳用戶(hù)：qoovoop
一個(gè)Light weighted的Java Database Engin 適合各個(gè)領(lǐng)域之Java數(shù)據(jù)庫(kù)編輯.
標(biāo)簽： Java Database weighted Light
上傳時(shí)間： 2013-12-24
上傳用戶(hù)：上善若水
求weighted/Non-weighted貝葉斯k近鄰模型的matlab程序，內(nèi)含具體說(shuō)明。
標(biāo)簽： Non-weighted weighted matlab 貝葉斯
上傳時(shí)間： 2015-08-16
上傳用戶(hù)：xhz1993
SVMcfg: Learns a weighted context free grammar from examples. Training examples (e.g. for natural language parsing) specify the sentence along with the correct parse tree. The goal is to predict the parse tree of new sentences.
標(biāo)簽： examples e.g. weighted Training
上傳時(shí)間： 2014-07-26
上傳用戶(hù)：zsjzc
Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights to ％ the outliers. ％ The motivation to write this function is to compute percentiles for Monte ％ Carlos simulations where some simulations are very bad (in terms of goodness ％ of fit between simulated and actual value) than the others and to give ％ the lower weights based on some goodness of fit criteria.
標(biāo)簽： percentiles weighted Returns sample
上傳時(shí)間： 2016-01-28
上傳用戶(hù)：小儒尼尼奧
用MATLABT算法實(shí)現(xiàn), 圖象經(jīng)過(guò)center weighted median filter后,對(duì)比 原圖象和處理過(guò)圖象的差別.
標(biāo)簽： weighted MATLABT center median
上傳時(shí)間： 2013-12-25
上傳用戶(hù)：gundan
weighted least square line extraction with original sensor data
標(biāo)簽： extraction weighted original square
上傳時(shí)間： 2014-01-11
上傳用戶(hù)：qiaoyue
加權(quán)最小二乘法&最大最小化優(yōu)化算法 weighted least-squares + weighted min-max optimization
標(biāo)簽： weighted least-squares optimization min-max
上傳時(shí)間： 2014-01-07
上傳用戶(hù)：stella2015
蟲(chóng)蟲(chóng)下載站版權(quán)所有 京ICP備2021023401號(hào)-1
