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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 4 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
HICSS
2009
IEEE
117views Biometrics» more  HICSS 2009»
15 years 4 months ago
Understanding the "Boundary" in Information Sharing and Integration
The definition of “boundary” in the context of multiorganizational information sharing and integration initiatives is developed in the paper. Both current literature and a cas...
Lei Zheng, Tung-Mou Yang, Theresa A. Pardo, Yuanfu...
AUTOMATICA
2008
74views more  AUTOMATICA 2008»
14 years 10 months ago
Policy iteration based feedback control
It is well known that stochastic control systems can be viewed as Markov decision processes (MDPs) with continuous state spaces. In this paper, we propose to apply the policy iter...
Kan-Jian Zhang, Yan-Kai Xu, Xi Chen, Xi-Ren Cao
HYBRID
2003
Springer
15 years 3 months ago
Qualitative Heterogeneous Control of Higher Order Systems
This paper presents the qualitative heterogeneous control framework, a methodology for the design of a controlled hybrid system based on attractors and transitions between them. Th...
Subramanian Ramamoorthy, Benjamin Kuipers
SMC
2007
IEEE
143views Control Systems» more  SMC 2007»
15 years 4 months ago
Enabling gestural interaction by means of tracking dynamical systems models and assistive feedback
— The computational understanding of continuous human movement plays a significant role in diverse emergent applications in areas ranging from human computer interaction to phys...
Yon Visell, Jeremy R. Cooperstock