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» Optimal Control in Large Stochastic Multi-agent Systems
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KDD
2010
ACM
287views Data Mining» more  KDD 2010»
13 years 11 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
14 years 6 days ago
An optimization approach to adaptive Kalman filtering
— In this paper, an optimization-based adaptive Kalman filtering method is proposed. The method produces an estimate of the process noise covariance matrix Q by solving an optim...
Maja Karasalo, Xiaoming Hu
KR
2004
Springer
14 years 2 months ago
From Hybrid Systems to Universal Plans Via Domain Compilation
While universal plans tell a system how to reach a goal regardless of what state it is in, such plans can be too large to represent. Hybrid systems execute plans where each action...
Anthony Barrett
CIARP
2008
Springer
13 years 11 months ago
Learning and Forgetting with Local Information of New Objects
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
Fernando Vázquez, José Salvador S&aa...
TC
2002
13 years 8 months ago
Dynamic Power Management for Nonstationary Service Requests
Dynamic Power Management (DPM) is a design methodology aiming at reducing power consumption of electronic systems by performing selective shutdown of idle system resources. The eff...
Eui-Young Chung, Luca Benini, Alessandro Bogliolo,...