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CIBCB
2007
IEEE
15 years 3 months ago
Modeling protein-DNA binding time in Stochastic Discrete Event Simulation of Biological Processes
Abstract— This paper presents a parametric model to estimate the DNA-protein binding time using the DNA and protein structures and details of the binding site. To understand the ...
Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. ...
IEICET
2007
73views more  IEICET 2007»
14 years 9 months ago
An ON-OFF Multi-Rate Loss Model of Finite Sources
Bursty traffic is dominant in modern communication networks and keeps the call-level QoS assessment an open issue. ON-OFF traffic models are commonly used to describe bursty tra...
Ioannis D. Moscholios, Michael D. Logothetis, Mich...
NIPS
2003
14 years 11 months ago
Wormholes Improve Contrastive Divergence
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
Geoffrey E. Hinton, Max Welling, Andriy Mnih
IH
1998
Springer
15 years 1 months ago
Modelling the False Alarm and Missed Detection Rate for Electronic Watermarks
Theoretical modeling of watermarks allow prediction of the detector reliability and facilitates the development of more reliable systems. In particular, mathematical evaluation is ...
Jean-Paul M. G. Linnartz, Ton Kalker, Geert Depove...
CMPB
2010
97views more  CMPB 2010»
14 years 8 months ago
A ligand predication tool based on modeling and reasoning with imprecise probabilistic knowledge
Ligand prediction has been driven by a fundamental desire to understand more about how biomolecules recognize their ligands and by the commercial imperative to develop new drugs. ...
Weiru Liu, Anbu Yue, David J. Timson