恭维 发表于 2025-3-23 13:02:13
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Generalized Linear Regression,In this chapter, we consider the so-called generalized linear regression, which includes logistic regression (binary and multiple cases), Poisson regression, and Cox regression.断断续续 发表于 2025-3-23 23:09:28
http://reply.papertrans.cn/88/8734/873400/873400_14.pngHabituate 发表于 2025-3-24 06:04:54
Fused Lasso,Fused Lasso is the problem of finding the . that minimize .given observations . and a constant ..SEMI 发表于 2025-3-24 07:43:11
Multivariate Analysis,In this chapter, we consider sparse estimation for the problems of multivariate analysis, such as principal component analysis and clustering .Abutment 发表于 2025-3-24 13:19:17
Joe SuzukiEquips readers with the logic required for machine learning and data science.Provides in-depth understanding of source programs.Written in an easy-to-follow and self-contained stylePhonophobia 发表于 2025-3-24 14:54:27
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Graphical Models,egarded as a variable, and edges express the dependency between them (conditional independence). In particular, assume a so-called sparse situation where the number of vertices is larger than the number of variables.