Results 41 to 50 of about 377,929 (357)
Multimodal Estimation of Distribution Algorithms [PDF]
Taking the advantage of estimation of distribution algorithms (EDAs) in preserving high diversity, this paper proposes a multimodal EDA. Integrated with clustering strategies for crowding and speciation, two versions of this algorithm are developed, which operate at the niche level.
Qiang Yang 0008 +5 more
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Estimation of Skill Distributions
In this paper, we study the problem of learning the skill distribution of a population of agents from observations of pairwise games in a tournament. These games are played among randomly drawn agents from the population. The agents in our model can be individuals, sports teams, or Wall Street fund managers.
Ali Jadbabaie +2 more
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Distribution Estimation for Probabilistic Loops
We present an algorithmic approach to estimate the value distributions of random variables of probabilistic loops whose statistical moments are (partially) known. Based on these moments, we apply two statistical methods, Maximum Entropy and Gram-Charlier series, to estimate the distributions of the loop's random variables.
Ahmad Karimi +5 more
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Data-Reserved Periodic Diffusion LMS With Low Communication Cost Over Networks
In this paper, we analyze diffusion strategies in which all nodes attempt to estimate a common vector parameter for achieving distributed estimation in adaptive networks.
Jae-Woo Lee +3 more
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This the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2012 John Wiley & Sons, Ltd.In this paper, the distributed state estimation problem is investigated for a class of sensor ...
Zidong Wang +5 more
core +1 more source
Decentralized Robust Connectivity Control in Flocking of Multi-Robot Systems
In this paper, a global connectivity control method for decentralized multi-robot systems is proposed. This method can achieve decentralized connectivity control of multi-robot network under disturbances, which has no effect on the objective flocking ...
Kai Li +4 more
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This paper focuses on the problem of distributed adaptive estimation over dynamic multi-task networks, where a set of nodes is required to collectively estimate some parameters of interest from noisy measurements.
Qing Shi +3 more
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On the Estimation of Mixing Distributions
Let $\mathscr{F} = \{F(x; y), y \varepsilon E\}$ be a family of cumulative distribution functions (cdf's) in the variable $x$ indexed by $y \varepsilon E$, where $E$ is a measurable subset of the real line. Assume that $F(x; y)$ is measurable in $y$ for all $x$.
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This is the post-print version of the Article. The official published version can be accessed from the links below - Copyright @ 2012 ACM.This article is concerned with a new distributed state estimation problem for a class of dynamical systems in sensor
Liu, X, Liang, J, Wang, Z, Shen, B
core +1 more source
Distributed top-k aggregation queries at large [PDF]
Top-k query processing is a fundamental building block for efficient ranking in a large number of applications. Efficiency is a central issue, especially for distributed settings, when the data is spread across different nodes in a network.
Neumann, T. +17 more
core +1 more source

