文件名称：MACHINE LEARNING: Discriminative and Generative_Tony Jebara_2004
文件大小：8.39MB
文件格式：PDF
更新时间：2021-02-22 14:43:26
机器学习 生成模型 判别模型 Tony
MACHINE LEARNING:Discriminative and Generative Tony Jebara Columbia University, U.S.A. -----The objective of this monograph is to unite two powerful yet different paradigms in machine learning: generative and discriminative. Generative learning approaches such as Bayesian networks are at the heart of many pattern recognition, artificial intelligence and perception systems. These provide a rich framework for imposing structure and prior knowledge to learn a useful and detailed model of a phenomenon.