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» Importance Sampling for Continuous Time Bayesian Networks
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BMCBI
2006
111views more  BMCBI 2006»
14 years 9 months ago
SIMMAP: Stochastic character mapping of discrete traits on phylogenies
Background: Character mapping on phylogenies has played an important, if not critical role, in our understanding of molecular, morphological, and behavioral evolution. Until very ...
Jonathan P. Bollback
BIOCOMP
2008
14 years 11 months ago
Reverse Engineering Module Networks by PSO-RNN Hybrid Modeling
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
CORR
2004
Springer
142views Education» more  CORR 2004»
14 years 9 months ago
Dynamic Localization Protocols for Mobile Sensor Networks
The ability of a sensor node to determine its physical location within a network (Localization) is of fundamental importance in sensor networks. Interpretating data from sensors i...
Sameer Tilak, Vinay Kolar, Nael B. Abu-Ghazaleh, K...
101
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AMAI
2004
Springer
15 years 2 months ago
A Framework for Sequential Planning in Multi-Agent Settings
This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state spac...
Piotr J. Gmytrasiewicz, Prashant Doshi
PE
2010
Springer
140views Optimization» more  PE 2010»
14 years 8 months ago
KPC-Toolbox: Best recipes for automatic trace fitting using Markovian Arrival Processes
We present the KPC-Toolbox, a library of MATLAB scripts for fitting workload traces into Markovian Arrival Processes (MAPs) in an automatic way based on the recently proposed Kro...
Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni