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» Using model knowledge for learning inverse dynamics
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ROBIO
2006
IEEE
129views Robotics» more  ROBIO 2006»
15 years 8 months ago
Learning Utility Surfaces for Movement Selection
— Humanoid robots are highly redundant systems with respect to the tasks they are asked to perform. This redundancy manifests itself in the number of degrees of freedom of the ro...
Matthew Howard, Michael Gienger, Christian Goerick...
ATAL
2005
Springer
15 years 8 months ago
Modeling opponent decision in repeated one-shot negotiations
In many negotiation and bargaining scenarios, a particular agent may need to interact repeatedly with another agent. Typically, these interactions take place under incomplete info...
Sabyasachi Saha, Anish Biswas, Sandip Sen
134
Voted
AI
2007
Springer
15 years 2 months ago
Learning, detection and representation of multi-agent events in videos
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...
Asaad Hakeem, Mubarak Shah
133
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BMCBI
2011
14 years 9 months ago
Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...
John J. Heine, Walker H. Land Jr., Kathleen M. Ega...
SIMPRA
2010
110views more  SIMPRA 2010»
15 years 28 days ago
Singularity-free dynamic equations of vehicle-manipulator systems
In this paper we derive the singularity-free dynamic equations of vehiclemanipulator systems using a minimal representation. These systems are normally modeled using Euler angles,...
Pål Johan From, Vincent Duindam, Kristin Ytt...