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BIBE
2007
IEEE
167views Bioinformatics» more  BIBE 2007»
15 years 6 months ago
Assessing the Performance of Macromolecular Sequence Classifiers
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Cornelia Caragea, Jivko Sinapov, Vasant Honavar, D...
ICML
2004
IEEE
16 years 3 months ago
The Bayesian backfitting relevance vector machine
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
ICML
2002
IEEE
16 years 3 months ago
Coordinated Reinforcement Learning
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
EDBT
2008
ACM
120views Database» more  EDBT 2008»
16 years 2 months ago
Schema mapping verification: the spicy way
Schema mapping algorithms rely on value correspondences ? i.e., correspondences among semantically related attributes ? to produce complex transformations among data sources. Thes...
Angela Bonifati, Giansalvatore Mecca, Alessandro P...
115
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ICRA
2005
IEEE
119views Robotics» more  ICRA 2005»
15 years 8 months ago
Vision Guided Landing of an Autonomous Helicopter in Hazardous Terrain
– Future robotic space missions will employ a precision soft-landing capability that will enable exploration of previously inaccessible sites that have strong scientific signific...
Andrew Edie Johnson, James F. Montgomery, Larry Ma...