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ML
2002
ACM
220views Machine Learning» more  ML 2002»
13 years 5 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich
CDC
2009
IEEE
107views Control Systems» more  CDC 2009»
13 years 10 months ago
Learning approaches to the Witsenhausen counterexample from a view of potential games
— Since Witsenhausen put forward his remarkable counterexample in 1968, there have been many attempts to develop efficient methods for solving this non-convex functional optimiz...
Na Li, Jason R. Marden, Jeff S. Shamma
IAT
2006
IEEE
13 years 11 months ago
Resolution-Based Policy Search for Imperfect Information Differential Games
Differential games (DGs), considered as a typical model of game with continuous states and non-linear dynamics, play an important role in control and optimization. Finding optimal...
Minh Nguyen-Duc, Brahim Chaib-draa
IJRR
2008
139views more  IJRR 2008»
13 years 5 months ago
Learning to Control in Operational Space
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
Jan Peters, Stefan Schaal
MSWIM
2005
ACM
13 years 11 months ago
A swarm intelligent multi-path routing for multimedia traffic over mobile ad hoc networks
In the last few years, the advance of multimedia applications has prompted researchers to undertake the task of routing multimedia data through Manet. This task is rather difficul...
Saida Ziane, Abdelhamid Mellouk