In this paper we present a classifier called Bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density degrees for all training points using the intra-class graph whose weights are determined by a local scaling heuristic strategy, then optimize a pair of nonparallel hyperplanes through two smaller sized support vector machine (SVM)-typed problems. In the prediction stage, BDTWSVMs assign to the class label depending on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The experimental results on toy as well as publicly available datasets indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization
標(biāo)簽： recognition Bi-density machines support pattern vector twin for
上傳時(shí)間： 2019-06-09
上傳用戶：lyaiqing
Achieving High Power Density Designs
標(biāo)簽： Achieving Density Designs Power
上傳時(shí)間： 2013-10-12
上傳用戶：qazxsw
基于sqlserver2k,reporting service的擴(kuò)展(auth,render,deliver==)應(yīng)用（mssql,RS,AS,BI），很難得的例子，現(xiàn)在國內(nèi)資料特別少。
標(biāo)簽： sqlserver reporting deliver service
上傳時(shí)間： 2014-01-11
上傳用戶：fnhhs
BI,商業(yè)智能，楊大川的教程，從基礎(chǔ)到高及，很有用哦.還是一樣，辦內(nèi)資料比較少，這是比較好的中文資料啦
上傳時(shí)間： 2013-11-28
上傳用戶：亞亞娟娟123
A language monitor provides a full duplex communications path between the print spooler and bi-directional printers that are capable of providing software-accessible status information and adds printer control information, such as commands defined by a printer job language, to the data stream s.
標(biāo)簽： communications language bi-direc provides
上傳時(shí)間： 2015-03-29
上傳用戶：comua
software i2c bi-bang on 80c51 mcu
標(biāo)簽： software bi-bang 80c51 i2c
上傳時(shí)間： 2015-04-05
上傳用戶：a6697238
Adaptive Mixtures Density Estimation的matlab實(shí)現(xiàn)
標(biāo)簽： Estimation Adaptive Mixtures Density
上傳時(shí)間： 2013-12-30
上傳用戶：manking0408
Form1.cs是應(yīng)用聚類算法DBSCAN (Density-Based Spatical Clustering of Application with Noise)的示例，可以通過兩個(gè)參數(shù)EPS和MinPts調(diào)節(jié)聚類。DBSCAN.cs是全部算法的實(shí)現(xiàn)文件，聚類算法的進(jìn)一步信息請參考“數(shù)據(jù)挖掘”或者相關(guān)書籍。聚類示例數(shù)據(jù)來自于sxdb.mdb，一個(gè)Access數(shù)據(jù)庫。
標(biāo)簽： Density-Based Application Clustering Spatical
上傳時(shí)間： 2015-05-26
上傳用戶：三人用菜
Detailed analysis of the clustering and classification : including density clustering, etc.
標(biāo)簽： clustering classification including Detailed
上傳時(shí)間： 2015-06-08
上傳用戶：tonyshao
A bi-directional bubble sort demonstration algorithm * SortAlgorithm.java
標(biāo)簽： bi-directional SortAlgorithm demonstration algorithm
上傳時(shí)間： 2015-06-10
上傳用戶：tonyshao
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