منابع مشابه
Graphical Models: Structure Learning
INTRODUCTION The article GRAPHICAL MODELS: PARAMETER LEARNING discussed the learning of parameters for a xed graphical model. In this article, we discuss the simultaneous learning of parameters and structure. Real-world applications of such learning abound and can be found in (e.g.) the Proceedings of the Conference on Uncertainty in Arti cial Intelligence (1991 and after). An index to software...
متن کاملLocal Structure Learning in Graphical Models
A topic in probabilistic network learning is to exploit local network structure, i.e., to capture regularities in the conditional probability distributions, and to learn networks with such local structure from data. In this paper we present a modification of the learning algorithm for Bayesian networks with a local decision graph representation suggested in Chickering et al. (1997), which is of...
متن کاملBayesian structure learning in graphical models
We consider the problem of estimating a sparse precision matrix of a multivariate Gaussian distribution, including the case where the dimension p exceeds the sample size n. Gaussian graphical models provide an important tool in describing conditional independence through presence or absence of the edges in the underlying graph. A popular non-Bayesian method of estimating a graphical structure i...
متن کاملLearning Undirected Graphical Models with Structure Penalty
In undirected graphical models, learning the graph structure and learning the functions that relate the predictive variables (features) to the responses given the structure are two topics that have been widely investigated in machine learning and statistics. Learning graphical models in two stages will have problems because graph structure may change after considering the features. The main con...
متن کاملStructure Learning of Mixed Graphical Models
We consider the problem of learning the structure of a pairwise graphical model over continuous and discrete variables. We present a new pairwise model for graphical models with both continuous and discrete variables that is amenable to structure learning. In previous work, authors have considered structure learning of Gaussian graphical models and structure learning of discrete models. Our app...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Annual Review of Statistics and Its Application
سال: 2017
ISSN: 2326-8298,2326-831X
DOI: 10.1146/annurev-statistics-060116-053803