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» Hidden semi-Markov models
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NIPS
2003
14 years 11 months ago
Clustering with the Connectivity Kernel
Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...
Bernd Fischer, Volker Roth, Joachim M. Buhmann
UAI
2003
14 years 11 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
UAI
2003
14 years 11 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...
AAAI
1997
14 years 11 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
14 years 11 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...