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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
SODA
1998
ACM
99views Algorithms» more  SODA 1998»
13 years 11 months ago
Online Throughput-Competitive Algorithm for Multicast Routing and Admission Control
We present the first polylog-competitive online algorithm for the general multicast admission control and routing problem in the throughput model. The ratio of the number of reque...
Ashish Goel, Monika Rauch Henzinger, Serge A. Plot...
AAAI
1996
13 years 11 months ago
Robot Navigation Using Image Sequences
We describe a framework for robot navigation that exploits the continuity of image sequences. Tracked visual features both guide the robot and provide predictive information about...
Christopher Rasmussen, Gregory D. Hager
DAGSTUHL
1996
13 years 11 months ago
A Self-Applicable Supercompiler
A supercompiler is a program which can performa deep transformation of programsusing a principle which is similarto partial evaluation, and can be referred to as metacomputation. ...
Andrei P. Nemytykh, Victoria A. Pinchuk, Valentin ...
ISMB
1994
13 years 11 months ago
Representations of Metabolic Knowledge: Pathways
The automatic generation of drawings of metabolic pathways is a challenging problem that depends intimately on exactly what information has been recorded for each pathway, and on ...
Peter D. Karp, Suzanne M. Paley