Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 5 of 5 for “"Graph Inference"”.
-
Optimizing Rough Set Flow Graph Inference
… uncertainty. A BN consists of a directed acyclic graph (DAG) and a corresponding set of conditional probability tables (CPTs). The probabilistic conditional independencies encoded in the DAG indicate that the product of the CPTs is a joint probability distribution. A central step in probabilistic …
-
Non-Gaussian Factor Graph Inference for Robotic Navigation
This thesis addresses non-Gaussian factor graph inference problems that arise in simultaneous localization and mapping (SLAM). We present a general framework to draw samples from the joint posterior distributions of a SLAM problem via ancestral sampling on the Bayes tree. This conditional sampling …
-
Inferring Undirected and Causally Directed Graph Structures from Multivariate Time Series
… primates using a novel variation of undirected graph learning based on smoothness prior. In Part Two, we define and implement a novel spatiotemporal graph (STG) model for inferring causally directed graphs. Analysis of brain connectivity networks has a potential to advance our understanding of …
-
Narrative Generation to Support Causal Exploration of Directed Graphs
Causal graphs are a useful notation to represent the interplay between the actors as well as the polarity and strength of the relationship that they share. They are used extensively in educational, professional, and industrial contexts to simulate different scenarios, validate behavioral aspects, …
-
Auto-parallelization of machine-learning dataflow graphs for CPU multicores
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-08-01