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NIPS
2008
15 years 4 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
SDM
2008
SIAM
125views Data Mining» more  SDM 2008»
15 years 4 months ago
Mining and Ranking Generators of Sequential Patterns
Sequential pattern mining first proposed by Agrawal and Srikant has received intensive research due to its wide range applicability in many real-life domains. Various improvements...
David Lo, Siau-Cheng Khoo, Jinyan Li
142
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AIPS
2006
15 years 4 months ago
Combining Knowledge Compilation and Search for Conformant Probabilistic Planning
We present a new algorithm for conformant probabilistic planning, which for a given horizon produces a plan that maximizes the probability of success under quantified uncertainty ...
Jinbo Huang
FLAIRS
2004
15 years 4 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
FLAIRS
2006
15 years 4 months ago
Simulated Visual Perception-Based Control for Autonomous Mobile Agents
Autonomous robots, such as automatic vacuum cleaners, toy robot dogs, and autonomous vehicles for the military, are rapidly becoming a part of everyday life. As a result the need ...
Daniel Flower, Burkhard Wünsche, Hans W. Gues...
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