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IROS
2007
IEEE
168views Robotics» more  IROS 2007»
14 years 2 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
IFIP
2010
Springer
13 years 2 months ago
Scenario-Based Modeling in Industrial Information Systems
This manuscript addresses the creation of scenario-based models to reason about the behavior of existing industrial information systems. In our approach the system behavior is mode...
Ricardo Jorge Machado, João M. Fernandes, J...
KDD
2010
ACM
289views Data Mining» more  KDD 2010»
13 years 5 months ago
Exploitation and exploration in a performance based contextual advertising system
The dynamic marketplace in online advertising calls for ranking systems that are optimized to consistently promote and capitalize better performing ads. The streaming nature of on...
Wei Li 0010, Xuerui Wang, Ruofei Zhang, Ying Cui, ...
CLOUD
2010
ACM
14 years 27 days ago
A self-organized, fault-tolerant and scalable replication scheme for cloud storage
Failures of any type are common in current datacenters, partly due to the higher scales of the data stored. As data scales up, its availability becomes more complex, while differe...
Nicolas Bonvin, Thanasis G. Papaioannou, Karl Aber...
COMPUTER
2002
103views more  COMPUTER 2002»
13 years 7 months ago
SimpleScalar: An Infrastructure for Computer System Modeling
tail defines the level of abstraction used to implement the model's components. A highly detailed model will faithfully simulate all aspects of machine operation, whether or n...
Todd M. Austin, Eric Larson, Dan Ernst