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» Predicting durability in DHTs using Markov chains
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BMCBI
2006
137views more  BMCBI 2006»
13 years 7 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
UAI
2004
13 years 9 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
CDC
2010
IEEE
107views Control Systems» more  CDC 2010»
13 years 2 months ago
Time-synchronization in mobile sensor networks from difference measurements
We examine distributed time-synchronization in mobile ad-hoc and sensor networks. The problem is to estimate the skews and offsets of clocks of all the nodes with respect to an arb...
Chenda Liao, Prabir Barooah
ISPW
2007
IEEE
14 years 1 months ago
The Economic Impact of Software Process Variations
The economic benefit of a certain development process or particular activity is usually unknown and indeed hard to predict. However, the cost-effectiveness of process improvement...
Florian Deissenboeck, Markus Pizka
HPCA
2009
IEEE
14 years 8 months ago
A first-order fine-grained multithreaded throughput model
Analytical modeling is an alternative to detailed performance simulation with the potential to shorten the development cycle and provide additional insights. This paper proposes a...
Xi E. Chen, Tor M. Aamodt