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ICML
2007
IEEE
16 years 4 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
ALT
2002
Springer
16 years 3 days ago
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...
Dmitry Gavinsky
122
Voted
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
15 years 9 months ago
Multiple-model RANSAC for ego-motion estimation in highly dynamic environments
Abstract— Robust ego-motion estimation in urban environments is a key prerequisite for making a robot truly autonomous, but is not easily achievable as there are two motions invo...
Shao-Wen Yang, Chieh-Chih Wang
CCS
2004
ACM
15 years 8 months ago
Lessons learned using alloy to formally specify MLS-PCA trusted security architecture
In order to solve future Multi Level Security (MLS) problems, we have developed a solution based on the DARPA Polymorphous Computing Architecture (PCA). MLS-PCA uses a novel distr...
Brant Hashii
GI
2009
Springer
15 years 7 months ago
Area Preserving Parameterisation of Shapes with Spherical Topology
: Statistical shape models are powerful tools for model-based segmentation and have been sucessfully applied to the segmentation of various structures in medical images. Though the...
Matthias Kirschner, Stefan Wesarg