This handbook presents a thorough overview in 45 chapters from more than 100 renowned experts in the
This handbook presents a thorough overview in 45 chapters from more than 100 renowned experts in the...
classification技術資料
?? 資源總數(shù)：113
?? 源代碼：3513
?? 電路圖：2
?? classification全部資料 (113個)
高斯過程是一種非參數(shù)化的學習方法
高斯過程是一種非參數(shù)化的學習方法，它可以很自然的用于regression，也可以用于classification。本程序用高斯過程實現(xiàn)分類！...
ApMl provides users with the ability to crawl the web and download pages to their computer in a dire
ApMl provides users with the ability to crawl the web and download pages to their computer in a dire...
Support Vector Machine is small sample method based on statistic learning theory. It is a new method
Support Vector Machine is small sample method based on statistic learning theory. It is a new method...
AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a s
AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a s...
模式識別學習綜述.該論文的英文參考文獻為303篇.很有可讀價值.Abstract— Classical and recent results in statistical pattern recog
模式識別學習綜述.該論文的英文參考文獻為303篇.很有可讀價值.Abstract— Classical and recent results in statistical pattern recog...
用Fourier變換求取信號的功率譜---周期圖法 用Fourier變換求取信號的功率譜---分段周期圖法 用Fourier變換求取信號的功率譜---welch方法 功率譜估計----多窗口法（
用Fourier變換求取信號的功率譜---周期圖法 用Fourier變換求取信號的功率譜---分段周期圖法 用Fourier變換求取信號的功率譜---welch方法 功率譜估計----多窗口法（...
Some paintings lyapunov chaotic attractor and the related terms, while the sub-critical and supercri
Some paintings lyapunov chaotic attractor and the related terms, while the sub-critical and supercri...
決策樹分類
決策樹分類，Your task for this project is to develop an system which performs a classification task with a...
統(tǒng)計模式識別、線性或非線性回歸以及人工神經(jīng)網(wǎng)絡等方法是數(shù)據(jù)挖掘的有效工具
統(tǒng)計模式識別、線性或非線性回歸以及人工神經(jīng)網(wǎng)絡等方法是數(shù)據(jù)挖掘的有效工具，支持向量分類（support vector classification，簡稱SVC）算法是一個很有發(fā)展前景的方向。...