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UAI
2003
13 years 10 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
UAI
2003
13 years 10 months ago
Renewal Strings for Cleaning Astronomical Databases
Large astronomical databases obtained from sky surveys such as the SuperCOSMOS Sky Surveys (SSS) invariably suffer from spurious records coming from artefactual effects of the t...
Amos J. Storkey, Nigel C. Hambly, Christopher K. I...
UAI
2003
13 years 10 months ago
Strong Faithfulness and Uniform Consistency in Causal Inference
A fundamental question in causal inference is whether it is possible to reliably infer the manipulation effects from observational data. There are a variety of senses of asymptot...
Jiji Zhang, Peter Spirtes
AAAI
1997
13 years 10 months ago
The "Inverse Hollywood Problem": From Video to Scripts and Storyboards via Causal Analysis
We address the problem of visually detecting causal events and tting them together into a coherent story of the action witnessed by the camera. We show that this can be done by re...
Matthew Brand
ISMB
1998
13 years 10 months ago
Computational Applications of DNA Structural Scales
We study from a computational standpoint several different physicalscales associatedwith structural features of DNA sequences, including dinucleotide scales such as base stacking ...
Pierre Baldi, Søren Brunak, Yves Chauvin, A...