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» Linear programming with online learning
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NIPS
2008
13 years 9 months ago
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
This work characterizes the generalization ability of algorithms whose predictions are linear in the input vector. To this end, we provide sharp bounds for Rademacher and Gaussian...
Sham M. Kakade, Karthik Sridharan, Ambuj Tewari
ASPLOS
2004
ACM
14 years 1 months ago
Formal online methods for voltage/frequency control in multiple clock domain microprocessors
Multiple Clock Domain (MCD) processors are a promising future alternative to today’s fully synchronous designs. Dynamic Voltage and Frequency Scaling (DVFS) in an MCD processor ...
Qiang Wu, Philo Juang, Margaret Martonosi, Douglas...
ICML
2010
IEEE
13 years 8 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
ATAL
2007
Springer
13 years 11 months ago
Temporal linear logic as a basis for flexible agent interactions
Interactions between agents in an open system such as the Internet require a significant degree of flexibility. A crucial aspect of the development of such methods is the notion o...
Duc Quang Pham, James Harland
CDC
2008
IEEE
131views Control Systems» more  CDC 2008»
14 years 2 months ago
Explicit model predictive control for linear parameter-varying systems
Abstract— In this paper we demonstrate how one can reformulate the MPC problem for LPV systems to a series of mpLPs by a closed-loop minimax MPC algorithm based on dynamic progra...
Thomas Besselmann, Johan Löfberg, Manfred Mor...