520 search results - page 83 / 104 » Computing recombination networks from binary sequences |
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
ACSAC
2004
IEEE
15 years 1 months ago
2004
IEEE
We map intrusion events to known exploits in the network attack graph, and correlate the events through the corresponding attack graph distances. From this, we construct attack sc...
119
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RECOMB
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
CCS
2008
ACM
14 years 11 months ago
2008
ACM
In this paper, we model Probabilistic Packet Marking (PPM) schemes for IP traceback as an identification problem of a large number of markers. Each potential marker is associated ...
110
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BMCBI
2005
14 years 9 months ago
2005
Background: The analysis of biological data is greatly enhanced by existing or emerging databases. Most existing databases, with few exceptions are not designed to easily support ...