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» Level-set methods for convex optimization
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ICML
2006
IEEE
16 years 4 months ago
Maximum margin planning
Mobile robots often rely upon systems that render sensor data and perceptual features into costs that can be used in a planner. The behavior that a designer wishes the planner to ...
Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinke...
NIPS
2001
15 years 4 months ago
Boosting and Maximum Likelihood for Exponential Models
We derive an equivalence between AdaBoost and the dual of a convex optimization problem, showing that the only difference between minimizing the exponential loss used by AdaBoost ...
Guy Lebanon, John D. Lafferty
AUTOMATICA
2010
104views more  AUTOMATICA 2010»
15 years 3 months ago
Identification for robust H2 deconvolution filtering
This paper addresses robust deconvolution filtering when the system and noise dynamics are obtained by parametric system identification. Consistent with standard identification me...
Xavier Bombois, Håkan Hjalmarsson, Gé...
EMNLP
2009
15 years 1 months ago
Multi-Class Confidence Weighted Algorithms
The recently introduced online confidence-weighted (CW) learning algorithm for binary classification performs well on many binary NLP tasks. However, for multi-class problems CW l...
Koby Crammer, Mark Dredze, Alex Kulesza
CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
15 years 10 months ago
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
Masahiro Ono, Brian C. Williams