Flexible Policy Construction by Information Refinement. - Michael C. Horsch; David L. Poole (UAI, 1996)

An Anytime Algorithm for Decision Making under Uncertainty. - Michael C. Horsch; David L. Poole (UAI, 1998)

Estimating the Value of Computation in Flexible Information Refinement. - Michael C. Horsch; David L. Poole (UAI, 1999)

An Empirical Study of Probabilistic Arc Consistency. - Michael C. Horsch; William S. Havens (CP, 2000)

Probabilistic Arc Consistency: A Connection between Constraint Reasoning and Probabilistic Reasoning. - Michael C. Horsch; William S. Havens (UAI, 2000)

Generalized Arc Consistency with Application to MaxCSP. - Michael C. Horsch; William S. Havens; Aditya Ghose (AI, 2002)

Agent Reasoning Mechanism for Long-Term Coalitions Based on Decision Making and Trust. - Julita Vassileva; Silvia Breban; Michael C. Horsch (Comput. Intell., 2002)

A Comparison of Consistency Propagation Algorithms in Constraint Optimization. - Jingfang Zheng; Michael C. Horsch (AI, 2003)

An Hierarchical Terrain Representation for Approximately Shortest Paths. - David Mould; Michael C. Horsch (PRICAI, 2004)

A Bayesian Model to Smooth Telepointer Jitter. - Jeff Long; Michael C. Horsch (Canadian AI, 2005)

A Decision Theoretic Meta-reasoner for Constraint Optimization. - Jingfang Zheng; Michael C. Horsch (Canadian AI, 2005)

Conditioning Graphs: Practical Structures for Inference in Bayesian Networks. - Kevin Grant; Michael C. Horsch (Australian Conference on Artificial Intelligence, 2005)

Exploiting Dynamic Independence in a Static Conditioning Graph. - Kevin Grant; Michael C. Horsch (Canadian AI, 2006)

Efficient Caching in Elimination Trees. - Kevin Grant; Michael C. Horsch (FLAIRS, 2007)

Camera selection using SCSPs. - Michael Janzen; Michael C. Horsch; Eric Neufeld (Future Play, 2008)

Bayesian Belief Networks. - Eric Neufeld; Michael C. Horsch (Wiley Encyclopedia of Computer Science and Engineering, 2008)

Methods for constructing balanced elimination trees and other recursive decompositions. - Kevin Grant; Michael C. Horsch (Int. J. Approx. Reason., 2009)

A Method of Virtual Camera Selection Using Soft Constraints. - Michael Janzen; Michael C. Horsch; Eric Neufeld (FLAIRS, 2011)

Predicting Good Propagation Methods for Constraint Satisfaction. - Craig D. S. Thompson; Michael C. Horsch (Canadian AI, 2012)

A Dynamic Approach to Probabilistic Inference - Michael C. Horsch; David L. Poole (CoRR, 2013)