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NIPS
1993
15 years 7 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson
ESANN
2006
15 years 7 months ago
Magnification control for batch neural gas
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
Barbara Hammer, Alexander Hasenfuss, Thomas Villma...
AINA
2006
IEEE
16 years 14 days ago
A Hybrid Rule-Based/Case-Based Reasoning Approach for Service Fault Diagnosis
— In today’s service market the provisioning of high quality services has become a critical issue for providers as the business success of their customers is often based on the...
Andreas Hanemann
NIPS
1994
15 years 7 months ago
Factorial Learning and the EM Algorithm
Many real world learning problems are best characterized by an interaction of multiple independent causes or factors. Discovering such causal structure from the data is the focus ...
Zoubin Ghahramani
ECML
2004
Springer
15 years 10 months ago
Efficient Hyperkernel Learning Using Second-Order Cone Programming
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
Ivor W. Tsang, James T. Kwok