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PAMI
2010
132views more  PAMI 2010»
13 years 9 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
ICRA
2002
IEEE
175views Robotics» more  ICRA 2002»
14 years 3 months ago
Flying Robots: Modeling, Control and Decision Making
This paper presents a flight rnanageiiient system (FhIS) iinpleniented as on-board intelligence for rotorcraft-based unmanned aerial vehicles (RUAVs), in order to gradually ilen a...
H. Jin Kim, David Hyunchul Shim, Shankar Sastry
CISIS
2011
IEEE
12 years 11 months ago
Agent-based Pickup and Delivery Planning: The Learnable Evolution Model Approach
—The Dynamic Vehicle Routing Problem (DVRP) is an optimization problem in which agents deliver orders that are not known in advance to the routing. Partial solutions need to be a...
Janusz Wojtusiak, Tobias Warden, Otthein Herzog
WETICE
1998
IEEE
14 years 3 months ago
A Framework for Adaptive Process Modeling and Execution (FAME)
This paper describes the architecture and concept of operation of a Framework for Adaptive Process Modeling and Execution (FAME). The research addresses the absence of robust meth...
Perakath C. Benjamin, Madhav Erraguntla, Richard J...
IFIP
1997
Springer
14 years 3 months ago
A simulation model for designing the automation of future's factory
The factory of the future is going to have a high, but not full, degree of automation. There are three reasons for that. First, no great level of automation is compatible with req...
Javier Borda Elejabarrieta