Extreme sparse multinomial logistic regression : a fast and robust framework for hyperspectral image classification

A mixed-eects multinomial logistic regression model is described for analysis of clustered or longitu- dinal nominal or ordinal response data.. The model is parameterized to

We concluded by using the multinomial logistic regression model that we can able to define accurately the relationship between the group of explanatory variables and

In order to assess the performances of the proposed approach, the sparse Bayesian binary logistic regression problem defined in Sec- tion 4 applied to handwritten digits

Large-scale Reordering Model for Statistical Machine Translation using Dual Multinomial Logistic Regression.. Abdullah Alrajeh ab and Mahesan

Keywords: Sparse learning, regression estimation, logistic regression, oracle inequalities, sparsity prior, Langevin

Large-scale Reordering Model for Statistical Machine Translation using Dual Multinomial Logistic Regression.. Abdullah Alrajeh ab and Mahesan

We used Bayesian multinomial logistic regression with Laplace prior to build classi- fiers on several data sets with different representations.. The performance of these clas-

In order to assess the performances of the proposed approach, the sparse Bayesian binary logistic regression problem defined in Sec- tion 4 applied to handwritten digits