831 citations · 3.2k across the 65 of their papers we have counts for
8 papers · 1 filter
The Extended Parameter Filter
Yusuf Erol, Lei Li, Bharath Ramsundar +1
The parameters of temporal models, such as dynamic Bayesian networks, may be modelled in a Bayesian context as static or atemporal variables that influence transition probabilities…
Automated Construction of Sparse Bayesian Networks from Unstructured Probabilistic Models and Domain Information
Sampath Srinivas, Stuart Russell, Alice M. Agogino
An algorithm for automated construction of a sparse Bayesian network given an unstructured probabilistic model and causal domain information from an expert has been developed and i…
Fine-Grained Decision-Theoretic Search Control
Stuart Russell
Decision-theoretic control of search has previously used as its basic unit. of computation the generation and evaluation of a complete set of successors. Although this simplifies a…
Stochastic Simulation Algorithms for Dynamic Probabilistic Networks
Keiji Kanazawa, Daphne Koller, Stuart Russell
Stochastic simulation algorithms such as likelihood weighting often give fast, accurate approximations to posterior probabilities in probabilistic networks, and are the methods of…
Image Segmentation in Video Sequences: A Probabilistic Approach
Nir Friedman, Stuart Russell
"Background subtraction" is an old technique for finding moving objects in a video sequence for example, cars driving on a freeway. The idea is that subtracting the current image f…
Learning the Structure of Dynamic Probabilistic Networks
Nir Friedman, Kevin Murphy, Stuart Russell
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend struc…