Integrating approximate single factor graphical models
نویسندگان
چکیده
منابع مشابه
Approximate Inference in Graphical Models
OF THE DISSERTATION Approximate Inference in Graphical Models By Sholeh Forouzan Doctor of Philosophy in Computer Science University of California, Irvine, 2015 Professor Alexander Ihler, Chair Graphical models have become a central paradigm for knowledge representation and reasoning over models with large numbers of variables. Any useful application of these models involves inference, or reaso...
متن کاملApproximate Counting of Graphical Models Via MCMC
We apply MCMC to approximately calculate (i) the ratio of directed acyclic graph (DAG) models to DAGs for up to 20 nodes, and (ii) the fraction of chain graph (CG) models that are neither undirected graph (UG) models nor DAG models for up to 13 nodes. Our results suggest that, for the numbers of nodes considered, (i) the ratio of DAG models to DAGs is not very low, (ii) the ratio of DAG models ...
متن کاملApproximate inference in Gaussian graphical models
The focus of this thesis is approximate inference in Gaussian graphical models. A graphical model is a family of probability distributions in which the structure of interactions among the random variables is captured by a graph. Graphical models have become a powerful tool to describe complex high-dimensional systems specified through local interactions. While such models are extremely rich and...
متن کاملApproximate Inference in Collective Graphical Models
We study the problem of approximate inference in collective graphical models (CGMs), which were recently introduced to model the problem of learning and inference with noisy aggregate observations. We first analyze the complexity of inference in CGMs: unlike inference in conventional graphical models, exact inference in CGMs is NP-hard even for tree-structured models. We then develop a tractabl...
متن کاملGraphical models for integrating syllabic information
We present graphical models that enhance a speech recognizer with information about syllabic segmentations. The segmentations are specified by locations of syllable nuclei, and the graphical models are able to use these locations to specify a “soft” segmentation of the speech data. The graphs give improved discrimination between speech and noise when compared to a baseline model. When using loc...
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: Statistics in Medicine
سال: 2019
ISSN: 0277-6715,1097-0258
DOI: 10.1002/sim.8408