297 citations · 892 across the 10 of their papers we have counts for
10 papers
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…
Using Temporal Data for Making Recommendations
Andrew Zimdars, David Maxwell Chickering, Christopher Meek
We treat collaborative filtering as a univariate time series estimation problem: given a user's previous votes, predict the next vote. We describe two families of methods for trans…
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…