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AAAI
2008
15 years 9 months ago
Bounding the False Discovery Rate in Local Bayesian Network Learning
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
Ioannis Tsamardinos, Laura E. Brown
173
Voted
AAAI
2007
15 years 9 months ago
Approximate Counting by Sampling the Backtrack-free Search Space
We present a new estimator for counting the number of solutions of a Boolean satisfiability problem as a part of an importance sampling framework. The estimator uses the recently...
Vibhav Gogate, Rina Dechter
203
Voted
AIIDE
2008
15 years 9 months ago
Combining Model-Based Meta-Reasoning and Reinforcement Learning for Adapting Game-Playing Agents
Human experience with interactive games will be enhanced if the software agents that play the game learn from their failures. Techniques such as reinforcement learning provide one...
Patrick Ulam, Joshua Jones, Ashok K. Goel
FLAIRS
2007
15 years 9 months ago
System Diagnosability Analysis Using p-slop MAP
Researchers have reported successful deployments of diagnosis decision support systems based on Bayesian networks. However, the methodology for evaluating the diagnosability for s...
Tsai-Ching Lu, K. Wojtek Przytula
USENIX
2007
15 years 9 months ago
Supporting Multiple OSes with OS Switching
—People increasingly put more than one OSes into their computers and devices like mobile phones. Multi-boot and virtualization are two common technologies for this purpose. In th...
Jun Sun 0002, Dong Zhou, Steve Longerbeam
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