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NIPS
2003
15 years 7 months ago
A Nonlinear Predictive State Representation
Predictive state representations (PSRs) use predictions of a set of tests to represent the state of controlled dynamical systems. One reason why this representation is exciting as...
Matthew R. Rudary, Satinder P. Singh
TMI
1998
75views more  TMI 1998»
15 years 5 months ago
Predicting error in rigid-body, point-based registration
— Guidance systems designed for neurosurgery, hip surgery, and spine surgery, and for approaches to other anatomy that is relatively rigid can use rigid-body transformations to a...
J. Michael Fitzpatrick, Jay B. West, Calvin R. Mau...
RTAS
2002
IEEE
15 years 11 months ago
Achieving End-to-end Predictability in the TAO Real-time CORBA ORB
End-to-end predictability of operations is essential for many fixed-priority distributed real-time and embedded (DRE) applications, such as command and control systems, manufactu...
Irfan Pyarali, Douglas C. Schmidt, Ron Cytron
ICIP
2001
IEEE
16 years 7 months ago
Performance prediction for vocabulary-supported image retrieval
The majority of today's content based image retrieval systems rely on low-level image descriptors which limit their capability to support meaningful interactions with the use...
Julia Vogel, Bernt Schiele
CORR
2000
Springer
92views Education» more  CORR 2000»
15 years 6 months ago
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
José M. Vidal, Edmund H. Durfee