Bayesian graphical model determination using decision theory

اسناد مشابه

• Heron Inference for Bayesian Graphical Models

  سند علمی۲۰۱۸CoRRDaniel Rugeles, Zhen Hai, Gao Cong, Manoranjan Dash

  Bayesian graphical models have been shown to be a powerful tool for discovering uncertainty and causal structure from real-world data in many application fields. Current inference methods primarily follow different kinds of trade-offs between computational complexity and predicti

• A Bayesian Graphical Model for ChIP-Seq Data on Histone Modifications

  سند علمی۲۰۱۲Riten MITRA, Peter MÜLLER, Shoudan LIANG, Lu YUE

  Histone modifications (HMs) are an important post-translational feature. Different types of HMs are believed to co-exist and co-regulate biological processes such as gene expression, and therefore are intrinsically dependent on each other. We develop inference for this complex bi

• Enhancing the Predictive Performance of Bayesian Graphical Models

  سند علمی۱۹۹۵David Madigan, Jonathan Gavrin, Adrian E. Raftery, Richard Chapman

  Both knowledge-based systems and statistical models are typically concerned with making predictions about future observables. Here we focus on assessment of predictive performance and provide two techniques for improving the predictive performance of Bayesian graphical models. Fi

• Bayesian Graphical Models for Polyphonic Pitch Tracking

  سند علمی۱۹۹۹Paul J. Walmsley, Simon J. Godsill, Peter J. W. Rayner

  Bayesian graphical models are a very flexible tool for the modelling of musical signals. They allow for an hierarchical model structure which can be used to represent structure at many different levels, from low level signal structure in terms of sinusoids to high level musical s

• Multi-floor Indoor Positioning System Using Bayesian Graphical Models

  سند علمی۲۰۱۰A. S. Al-Ahmadi, A. I. Omer, M. R. Kamarudin, T. A. Rahman

  In recent years, location determination systems have gained a high importance due to their rule in the context aware systems. In this paper, we will design a multi-floor indoor positioning system based on Bayesian Graphical Models (BGM). Graphical models have a great flexibility

• Bayesian Graphical Models for Multivariate Functional Data

  سند علمی۲۰۱۶Journal of Machine Learning ResearchHongxiao Zhu, Nate Strawn, David B. Dunson

  Graphical models express conditional independence relationships among variables. Although methods for vector-valued data are well established, functional data graphical models remain underdeveloped. By functional data, we refer to data that are realizations of random functions va