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» Learning and Classification of Complex Dynamics
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ICML
2008
IEEE
14 years 8 months ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
CHI
2009
ACM
14 years 8 months ago
Understanding teamwork in high-risk domains through analysis of errors
Trauma care is an example of dynamic, complex, and safety-critical teamwork. The staff in trauma centers works under time pressure and lacks effective information technologies to ...
Aleksandra Sarcevic
CHI
2008
ACM
14 years 8 months ago
Quantifying adaptation parameters for information support of trauma teams
Trauma centers are stressful, noisy and dynamic environments, with many people performing complex tasks, and with little in the way of information support. Information must be pri...
Aleksandra Sarcevic, Michael E. Lesk, Ivan Marsic,...
ICML
2001
IEEE
14 years 8 months ago
Round Robin Rule Learning
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...
Johannes Fürnkranz
ICRA
2010
IEEE
116views Robotics» more  ICRA 2010»
13 years 6 months ago
Parameterized maneuver learning for autonomous helicopter flight
Abstract— Many robotic control tasks involve complex dynamics that are hard to model. Hand-specifying trajectories that satisfy a system’s dynamics can be very time-consuming a...
Jie Tang, Arjun Singh, Nimbus Goehausen, Pieter Ab...