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ESANN
1998
13 years 10 months ago
Lazy learning for control design
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
Gianluca Bontempi, Mauro Birattari, Hugues Bersini
EUROSYS
2007
ACM
14 years 6 months ago
Adaptive control of virtualized resources in utility computing environments
Data centers are often under-utilized due to over-provisioning as well as time-varying resource demands of typical enterprise applications. One approach to increase resource utili...
Pradeep Padala, Kang G. Shin, Xiaoyun Zhu, Mustafa...
CORR
2010
Springer
130views Education» more  CORR 2010»
13 years 9 months ago
Towards Adaptable and Adaptive Policy-Free Middleware
We believe that to fully support adaptive distributed applications, middleware must itself be adaptable, adaptive and policy-free. In this paper we present a new language-independ...
Alan Dearle, Graham N. C. Kirby, Stuart J. Norcros...
KDD
2005
ACM
192views Data Mining» more  KDD 2005»
14 years 9 months ago
Modeling and predicting personal information dissemination behavior
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming...
ICRA
2002
IEEE
115views Robotics» more  ICRA 2002»
14 years 1 months ago
Parametric Primitives for Motor Representation and Control
The use of motor primitives for the generation of complex movements is a relatively new and interesting idea for dimensionality reduction in robot control. We propose a framework ...
R. Amit, Maja J. Mataric