conftrace_
← Back to papers
2017 IJCAI IJCAI 2017

Probabilistic Inference in Hybrid Domains

Abstract

This extended abstract presents my PhD research project on learning and reasoning in Hybrid Domains. In particular, it focuses on my current work on exact probabilistic inference in these domains, as well as presenting other research directions that are going to be explored.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Machine Learning
🐝 Cross-Pollinator - Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Paolo Morettin

Topics

Artificial Intelligence > Bayesian & Probabilistic > Probabilistic Modeling Machine Learning > Optimization & Theory > Bayesian Inference Machine Learning > Bayesian & Probabilistic > Probabilistic Modeling Artificial Intelligence > Bayesian & Probabilistic > Bayesian Inference

Keywords

bayesian learning bayesian inference probabilistic inference exact inference graphical model hybrid domain
Download PDF

Related papers

Efficient Computation of Extensions for Dynamic Abstract Argumentation Frameworks: An Incremental Approach 2017
Object Allocation via Swaps along a Social Network 2017
Synchronisation Games on Hypergraphs 2017
Attachment Centrality for Weighted Graphs 2017
Agent Design Consistency Checking via Planning 2017