297 citations · 980 across the 13 of their papers we have counts for
7 papers · 1 filter
A Transformational Characterization of Equivalent Bayesian Network Structures
David Maxwell Chickering
We present a simple characterization of equivalent Bayesian network structures based on local transformations. The significance of the characterization is twofold. First, we are ab…
Learning Equivalence Classes of Bayesian Networks Structures
David Maxwell Chickering
Approaches to learning Bayesian networks from data typically combine a scoring function with a heuristic search procedure. Given a Bayesian network structure, many of the scoring f…
Dependency Networks for Collaborative Filtering and Data Visualization
David Heckerman, David Maxwell Chickering, Christopher Meek +2
We describe a graphical model for probabilistic relationships---an alternative to the Bayesian network---called a dependency network. The graph of a dependency network, unlike a Ba…
A Decision Theoretic Approach to Targeted Advertising
David Maxwell Chickering, David Heckerman
A simple advertising strategy that can be used to help increase sales of a product is to mail out special offers to selected potential customers. Because there is a cost associated…
A Bayesian Approach to Tackling Hard Computational Problems
Eric J. Horvitz, Yongshao Ruan, Carla P. Gomes +3
We are developing a general framework for using learned Bayesian models for decision-theoretic control of search and reasoningalgorithms. We illustrate the approach on the specific…
Finding Optimal Bayesian Networks
David Maxwell Chickering, Christopher Meek
In this paper, we derive optimality results for greedy Bayesian-network search algorithms that perform single-edge modifications at each step and use asymptotically consistent scor…