21 citations · 61 across the 8 of their papers we have counts for
8 papers
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…
IDEAL: A Software Package for Analysis of Influence Diagrams
Sampath Srinivas, John S. Breese
IDEAL (Influence Diagram Evaluation and Analysis in Lisp) is a software environment for creation and evaluation of belief networks and influence diagrams. IDEAL is primarily a rese…
A Generalization of the Noisy-Or Model
Sampath Srinivas
The Noisy-Or model is convenient for describing a class of uncertain relationships in Bayesian networks [Pearl 1988]. Pearl describes the Noisy-Or model for Boolean variables. Here…
A Probabilistic Approach to Hierarchical Model-based Diagnosis
Sampath Srinivas
Model-based diagnosis reasons backwards from a functional schematic of a system to isolate faults given observations of anomalous behavior. We develop a fully probabilistic approac…
Exploiting System Hierarchy to Compute Repair Plans in Probabilistic Model-based Diagnosis
Sampath Srinivas, Eric J. Horvitz
The goal of model-based diagnosis is to isolate causes of anomalous system behavior and recommend inexpensive repair actions in response. In general, precomputing optimal repair po…
A Polynomial Algorithm for Computing the Optimal Repair Strategy in a System with Independent Component Failures
Sampath Srinivas
The goal of diagnosis is to compute good repair strategies in response to anomalous system behavior. In a decision theoretic framework, a good repair strategy has low expected cost…