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Estimating Spatial Autocorrelation with Sampled Network Data
NetworkDataAnalysis Paired Maximum Likelihood Estimator
2016/1/26
Spatial autocorrelation is a parameter of importance for network data analysis. To estimate spatial autocorrelation, maximum likelihood has been popularly used. However, its rigorous implementation re...
Compressive Network Analysis
network data analysis compressive sensing Radon basis pursuit restricted isometry property clique detection
2016/1/25
Modern data acquisition routinely produces massive amounts of network data.Though many methods and models have been proposed to analyze such data, the research of network data is largely disconnected ...
Compressive Network Analysis
network data analysis compressive sensing Radon basis pursuit
2016/1/20
Modern data acquisition routinely produces massive amounts of network data.Though many methods and models have been proposed to analyze such data, the research of network data is largely disconnected ...
Adaptive Management of Network Resources
Power control rate control utility functions optimization and control adaptation
2015/7/10
This paper describes a new adaptive algorithm that smoothly and dynamically adjusts the system resources of link rates and transmitter powers to maximize the performance of the system. Performance is ...
MP-DSM: A Distributed Cross Layer Network Control Protocol
network management TCP optimization and control QoS cross layer utility functions
2015/7/10
We present a distributed cross layer approach to controlling the network performance under various QoS requirements in interference limited systems. The interaction between the different layers of the...
An Interior-Point Method for Large Scale Network Utility Maximization
An Interior-Point Method Large Scale Network Utility Maximization
2015/7/10
We describe a specialized truncated Newton primal-dual interior-point method that solves large scale network utility maximization problems, with concave utility functions, efficiently and reliably. Ou...
Dynamic Network Utility Maximization with Delivery Contracts
Dynamic Network Utility Maximization Delivery Contracts
2015/7/10
We consider a multi-period variation of the network utility maximization problem that includes delivery constraints. We allow the flow utilities, link capacities and routing matrices to vary over time...
Further Relaxations of the Semidefinite Programming Approach to Sensor Network Localization
sensor network localization semidefi nite programming
2015/7/9
Recently, a semidefinite programming (SDP) relaxation approach has been proposed to solve the sensor network localization problem. Although it achieves high accuracy in estimating the sensor locations...
Genetic Network Identification using Convex Programming
Genetic Network Identification Convex Programming
2015/7/9
Gene regulatory networks capture interactions between genes and other cell substances, resulting in various models for the fundamental biological process of transcription and translation. The expressi...
Optimizing Adaptive Modulation in Wireless Networks via Multi-Period Network Utility Maximization
Optimizing Adaptive Modulation Wireless Networks via Multi-Period Network Utility Maximization
2015/7/9
We present a crosslayer technique to find and characterize optimal control policies for wireless networks operating at different time scales at the upper layer and physical layer. The technique can al...
Dynamic Network Energy Management via Proximal Message Passing
Network Energy Management Proximal Message Passing
2015/7/9
We consider a network of devices, such as generators, fixed loads, deferrable loads, and storage devices, each with its own dynamic constraints and objective, connected by AC and DC lines. The problem...
Network Lasso: Clustering and Optimization in Large Graphs
Convex Optimization ADMM Network Lasso
2015/7/8
Convex optimization is an essential tool for modern data analysis, as it provides a framework to formulate and solve many problems in machine learning and data mining. However, general convex optimiza...
A Diffusion Approximation for a Network of Reservoirs with Power Law Release Rule
Diffusion network reservoir power law
2015/7/8
A diffusion approximation for a network of continuous time reservoirs with power law release rules is examined. Under a mild assumption on the inflow processes, we show that for physically reasonable ...
The Mean Number-in-System Vector Range for a Multi-Class Queueing Network
networks of servers surjections onto multifunctions queueing
2015/7/6
In a multiclass network of queues, natural sufficient conditions are given for the mean number-in-system vector to cover the nonnegative orthant as the arrival rate vector varies over the stable domai...
Closure vs. Structural Holes: How Social Network Information and Culture Affect Choice of Collaborators
Social Network Information Culture
2015/7/3
Collaboration is important to successful organizations and
how coworkers are selected is crucial to the dynamics of
effective collaborations. In this study we explore how
people use social netwo...