Skip to content
conftrace_
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.

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

More from IJCAI 2017

All IJCAI 2017 papers →
Resilient Control and Safety for Multi-Agent Cyber-Physical Systems
Human-Like Agents for Repeated Negotiation
Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games
Curriculum Learning in Reinforcement Learning
Nonparametric Online Machine Learning with Kernels
Operationalizing Operational Logics: Semiotic Knowledge Representations for Interactive Systems