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» Quantifying group problem solving with stochastic analysis
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94
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COCOA
2010
Springer
14 years 7 months ago
Bounds for Nonadaptive Group Tests to Estimate the Amount of Defectives
The classical and well-studied group testing problem is to find d defectives in a set of n elements by group tests, which tell us for any chosen subset whether it contains defectiv...
Peter Damaschke, Azam Sheikh Muhammad
ATAL
2006
Springer
15 years 1 months ago
Forming efficient agent groups for completing complex tasks
In this paper we produce complexity and impossibility results and develop algorithms for a task allocation problem that needs to be solved by a group of autonomous agents working ...
Efrat Manisterski, Esther David, Sarit Kraus, Nich...
ICCAD
1999
IEEE
105views Hardware» more  ICCAD 1999»
15 years 1 months ago
Noise analysis of non-autonomous radio frequency circuits
In this paper we consider the important problem of noise analysis of non-autonomous nonlinear RF circuits in presence of input signal phase noise. We formulate this problem as a s...
Amit Mehrotra, Alberto L. Sangiovanni-Vincentelli
IAT
2005
IEEE
15 years 3 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
105
Voted
JCNS
2000
165views more  JCNS 2000»
14 years 9 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina