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UAI
2003
13 years 11 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
ISMB
1994
13 years 11 months ago
Kinematic Manipulation of Molecular Chains Subject to Rigid Constraint
Wepresent algorithms for kinematic manipulation of molecular chains subject to fixed bond lengths and bond angles. They are useful for calculating conformations of a molecule subj...
Dinesh Manocha, Yunshan Zhu
ECRTS
2010
IEEE
13 years 10 months ago
The Demand Bound Function Interface of Distributed Sporadic Pipelines of Tasks Scheduled by EDF
—In distributed real-time embedded systems (DRE), it is common to model an application as a set of task chains. Each chain is activated cyclically and must complete before an end...
Nicola Serreli, Giuseppe Lipari, Enrico Bini
TOG
2008
89views more  TOG 2008»
13 years 10 months ago
Continuation methods for adapting simulated skills
Modeling the large space of possible human motions requires scalable techniques. Generalizing from example motions or example controllers is one way to provide the required scalab...
KangKang Yin, Stelian Coros, Philippe Beaudoin, Mi...
JSAC
2007
102views more  JSAC 2007»
13 years 10 months ago
Partially-coherent distributed space-time codes with differential encoder and decoder
Abstract— Distributed space-time coding is a means of achieving diversity through cooperative communication in a wireless relay network. In this paper, we consider a transmission...
T. Kiran, B. Sundar Rajan