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126
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ICML
2006
IEEE
16 years 4 months ago
How boosting the margin can also boost classifier complexity
Boosting methods are known not to usually overfit training data even as the size of the generated classifiers becomes large. Schapire et al. attempted to explain this phenomenon i...
Lev Reyzin, Robert E. Schapire
113
Voted
ICML
2006
IEEE
16 years 4 months ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
Matthew R. Rudary, Satinder P. Singh
149
Voted
ISBI
2006
IEEE
16 years 4 months ago
Landmark matching on the sphere using distance functions
Nonlinear registration of 3D surfaces is important in many medical imaging applications, including the mapping of longitudinal changes in anatomy, or of multi-subject functional M...
Natasha Lepore, Alex D. Leow, Paul M. Thompson
133
Voted
PERCOM
2006
ACM
16 years 3 months ago
A Collusion Attack on Pairwise Key Predistribution Schemes for Distributed Sensor Networks
Key predistribution schemes are a favoured solution for establishing secure communication in sensor networks. Often viewed as the safest way to bootstrap trust, the main drawback ...
Tyler Moore
114
Voted
ALT
2006
Springer
16 years 17 days ago
Risk-Sensitive Online Learning
We consider the problem of online learning in settings in which we want to compete not simply with the rewards of the best expert or stock, but with the best trade-off between rew...
Eyal Even-Dar, Michael J. Kearns, Jennifer Wortman