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» Quantifying group problem solving with stochastic analysis
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NIPS
2007
13 years 9 months ago
Measuring Neural Synchrony by Message Passing
A novel approach to measure the interdependence of two time series is proposed, referred to as “stochastic event synchrony” (SES); it quantifies the alignment of two point pr...
Justin Dauwels, François B. Vialatte, Tomas...
JSW
2008
122views more  JSW 2008»
13 years 7 months ago
Modeling and Analysis the Web Structure Using Stochastic Timed Petri Nets
Precise analysis of the Web structure can facilitate data pre-processing and enhance the accuracy of the mining results in the procedure of Web usage mining. STPN Stochastic Timed...
Pozung Chen, Chu-Hao Sun, Shih-Yang Yang
CORR
2010
Springer
201views Education» more  CORR 2010»
13 years 5 months ago
Online Advertisement, Optimization and Stochastic Networks
In this paper, we propose a stochastic model to describe how search service providers charge client companies based on users' queries for the keywords related to these compan...
R. Srikant
BMCBI
2005
99views more  BMCBI 2005»
13 years 7 months ago
Effective ambiguity checking in biosequence analysis
Background: Ambiguity is a problem in biosequence analysis that arises in various analysis tasks solved via dynamic programming, and in particular, in the modeling of families of ...
Janina Reeder, Peter Steffen, Robert Giegerich
FLAIRS
2009
13 years 5 months ago
Dynamic Programming Approximations for Partially Observable Stochastic Games
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
Akshat Kumar, Shlomo Zilberstein