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IJCNN
2006
IEEE
16 years 16 days ago
Model Selection via Bilevel Optimization
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
IJIT
2004
15 years 8 months ago
Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sa...
ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
16 years 1 months ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...
MOBIHOC
2008
ACM
16 years 6 months ago
P2P-based routing and data management using the virtual cord protocol (VCP)
We present Virtual Cord Protocol (VCP), a virtual relative position based routing protocol for sensor networks that also provides methods for data management as known from standar...
Abdalkarim Awad, Reinhard German, Falko Dressler
CDC
2008
IEEE
146views Control Systems» more  CDC 2008»
16 years 1 months ago
Control formula for nonlinear systems subject to convex input constraints using control Lyapunov functions
— In this paper, we propose a two-step controller design method with control Lyapunov functions (CLFs) for nonlinear systems with convex input constraints. In the first step, we...
Yasuyuki Satoh, Hisakazu Nakamura, Nami Nakamura, ...