Principle and algorithm of incremental bayes classification 增量式貝葉斯分類的原理和算法
Many classification methods exist including nearest - to - means , maximum likelihood classification method , bayes classification method , and neural network classification 圖象分類之理論與方法甚多,包括最近均值法、最大概似法、具氏分類法等。
Many classification methods exist including nearest - to - means , maximum likelihood classification method , bayes classification method , and neural network classification 影像分類之理論與方法甚多,包括最近均值法、最大概似法、具氏分類法等。
Underlain by these models and theories , a crawling algorithm based on " tunneling " and bayes classification is explored and a mathematical function model of tunneling distance for this algorithm is established , and moreover the practical procedure of this crawling algorithm is discussed 在這些研究的基礎上,本文探索了一種基于隧道效應和貝葉斯分類途徑的特定主題爬取算法,并建立了這種爬取算法的穿越距離函數(shù)模型,同時分析了這種算法在爬取中的具體實現(xiàn)過程。