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ML
2002
ACM
167views Machine Learning» more  ML 2002»
13 years 7 months ago
Linear Programming Boosting via Column Generation
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
Ayhan Demiriz, Kristin P. Bennett, John Shawe-Tayl...
ICRA
2006
IEEE
190views Robotics» more  ICRA 2006»
14 years 1 months ago
An Integrated Approach to Inverse Kinematics and Path Planning for Redundant Manipulators
— We propose a novel solution to the problem of inverse kinematics for redundant robotic manipulators for the purposes of goal selection for path planning. We unify the calculati...
Dominik Bertram, James Kuffner, Rüdiger Dillm...
ATAL
2007
Springer
14 years 1 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
POPL
2011
ACM
12 years 10 months ago
Safe nondeterminism in a deterministic-by-default parallel language
A number of deterministic parallel programming models with strong safety guarantees are emerging, but similar support for nondeterministic algorithms, such as branch and bound sea...
Robert L. Bocchino Jr., Stephen Heumann, Nima Hona...
ACRI
2010
Springer
13 years 6 months ago
The Complexity of Three-Dimensional Critical Avalanches
In this work we study the complexity of the three-dimensional sandpile avalanches triggered by the addition of two critical configurations. We prove that the algorithmic problem c...
Carolina Mejía, J. Andrés Montoya