93 citations · 153 across the 3 of their papers we have counts for
3 papers
cs.AI2013★ 93 cited
SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation
Avi Pfeffer, Daphne Koller, Brian Milch +1
In previous work, we pointed out the limitations of standard Bayesian networks as a modeling framework for large, complex domains. We proposed a new, richly structured modeling lan…
cs.AI2013★ 5 cited
Probabilistic Models for Agents' Beliefs and Decisions
Brian Milch, Daphne Koller
Many applications of intelligent systems require reasoning about the mental states of agents in the domain. We may want to reason about an agent's beliefs, including beliefs about…
cs.AI2012★ 55 cited
General-Purpose MCMC Inference over Relational Structures
Brian Milch, Stuart Russell
Tasks such as record linkage and multi-target tracking, which involve reconstructing the set of objects that underlie some observed data, are particularly challenging for probabili…