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AAAI
1996
15 years 20 days ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
UAI
2007
15 years 15 days ago
Aggregating Across Multiple Levels of Granularity to Meet Customer and Organizational Query Requirements
A research organization responds to a variety of customer requests. Each high level request is broken down into a set of low level requests. For each low level request, the resear...
Suzanne M. Mahoney
ICA
2010
Springer
15 years 12 days ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
IAT
2008
IEEE
14 years 11 months ago
nAble Adaptive Scaffolding Agent - Intelligent Support for Novices
Scaffolding techniques allow human instructors to support novice learners in critical early stages, and to remove that support as expertise grows. This paper describes nAble, an a...
Joseph MacInnes, Stephanie Santosa, Nathan Kronenf...
AI
2008
Springer
14 years 11 months ago
Conditional independence and chain event graphs
Graphs provide an excellent framework for interrogating symmetric models of measurement random variables and discovering their implied conditional independence structure. However,...
Jim Q. Smith, Paul E. Anderson