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» Quantifying group problem solving with stochastic analysis
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COCOA
2010
Springer
13 years 5 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
13 years 11 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»
14 years 22 hour 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
14 years 1 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
JCNS
2000
165views more  JCNS 2000»
13 years 7 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