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NN
2010
Springer
125views Neural Networks» more  NN 2010»
14 years 8 months ago
Parameter-exploring policy gradients
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
Frank Sehnke, Christian Osendorfer, Thomas Rü...
BMCBI
2008
150views more  BMCBI 2008»
14 years 9 months ago
13C labeling experiments at metabolic nonstationary conditions: An exploratory study
Background: Stimulus Response Experiments to unravel the regulatory properties of metabolic networks are becoming more and more popular. However, their ability to determine enzyme...
Sebastian Aljoscha Wahl, Katharina Nöh, Wolfg...
IMC
2006
ACM
15 years 3 months ago
On unbiased sampling for unstructured peer-to-peer networks
This paper addresses the difficult problem of selecting representative samples of peer properties (e.g., degree, link bandwidth, number of files shared) in unstructured peer-to-p...
Daniel Stutzbach, Reza Rejaie, Nick G. Duffield, S...
BMCBI
2008
134views more  BMCBI 2008»
14 years 9 months ago
Stability analysis of mixtures of mutagenetic trees
Background: Mixture models of mutagenetic trees are evolutionary models that capture several pathways of ordered accumulation of genetic events observed in different subsets of pa...
Jasmina Bogojeska, Thomas Lengauer, Jörg Rahn...
IMC
2005
ACM
15 years 3 months ago
Poisson versus Periodic Path Probing (or, Does PASTA Matter?)
Abstract— The well-known PASTA (“Poisson Arrivals See Time Averages”) property states that, under very general conditions, the fraction of Poisson arrivals that observe an un...
Muhammad Mukarram Bin Tariq, Amogh Dhamdhere, Cons...