Skip to content

Data Analysis papers — page 113

physics.data-anBrowse archive

Robustness of community structure in networks
The discovery of community structure is a common challenge in the analysis of network data. Many methods have been proposed for finding community structure, but few have been proposed for determining…
Brian Karrer, Elizaveta Levina, M. E. J. NewmanSep 13, 2007
Learn
Street-based Topological Representations and Analyses for Predicting Traffic Flow in GIS
It is well received in the space syntax community that traffic flow is significantly correlated to a morphological property of streets, which are represented by axial lines, forming a so called axial…
Bin Jiang, Chengke LiuSep 13, 2007
Learn
Information theoretic approach to interactive learning
The principles of statistical mechanics and information theory play an important role in learning and have inspired both theory and the design of numerous machine learning algorithms. The new aspect…
Susanne StillSep 12, 2007
Learn
Maximum Entropy, Time Series and Statistical Inference
A brief discussion is given of the traditional version of the Maximum Entropy Method, including a review of some of the criticism that has been made in regard to its use in statistical inference.…
Robert KariotisSep 10, 2007
Learn
Wrong Priors
All priors are not created equal. There are right and there are wrong priors. That is the main conclusion of this contribution. I use, a cooked-up example designed to create drama, and a typical…
Carlos C. RodriguezSep 7, 2007
Learn
Communities in networks - a continuous approach
A system of differential equations is proposed designed as to identify communities in weighted networks. The input is a symmetric connectivity matrix Aij. A priori information on the number of…
Malgorzata J. Krawczyk, Krzysztof KulakowskiSep 6, 2007
Learn
Predictive protocol of flocks with small-world connection pattern
By introducing a predictive mechanism with small-world connections, we propose a new motion protocol for self-driven flocks. The small-world connections are implemented by randomly adding long-range…
Hai-Tao Zhang, Michael Z. Q. Chen, Tao ZhouSep 4, 2007
Learn
Improving the consensus performance via predictive mechanisms
Considering some predictive mechanisms, we show that ultrafast average-consensus can be achieved in networks of interconnected agents. More specifically, by predicting the dynamics of the network…
Hai-Tao Zhang, Guy-Bart Stan, Michael ZhiQiang Chen et al.Sep 3, 2007
Learn
A Multivariate Training Technique with Event Reweighting
An event reweighting technique incorporated in multivariate training algorithm has been developed and tested using the Artificial Neural Networks (ANN) and Boosted Decision Trees (BDT). The event…
Hai-Jun Yang, Tiesheng Dai, Alan Wilson et al.Aug 27, 2007
Learn
Stochastic solution of nonlinear and nonhomogeneous evolution problems by a differential Kolmogorov equation
A large class of physically important nonlinear and nonhomogeneous evolution problems, characterized by advection-like and diffusion-like processes, can be usefully studied by a time-differential…
R. G. KeaniniAug 23, 2007
Learn
Pseudo-periodicity and 1/f noise from the sum of similar intermittent signals
The usual interpretation of noise is represented by a sum of many independent two-level elementary random signals with a distribution of relaxation times. In this paper it is demonstrated that also…
Giovanni ZanellaAug 23, 2007
Learn
Bayesian segmentation of hyperspectral images
In this paper we consider the problem of joint segmentation of hyperspectral images in the Bayesian framework. The proposed approach is based on a Hidden Markov Modeling (HMM) of the images with…
Adel Mohammadpour, Olivier Féron, Ali Mohammad-DjafariAug 22, 2007
Learn
On the estimation of a parameter with incomplete knowledge on a nuisance parameter
In this paper we consider the problem of estimating a parameter of a probability distribution when we have some prior information on a nuisance parameter. We start by the very simple case where we…
Ali Mohammad-Djafari, Adel MohammadpourAug 22, 2007
Learn
On Shannon-Jaynes Entropy and Fisher Information
The fundamentals of the Maximum Entropy principle as a rule for assigning and updating probabilities are revisited. The Shannon-Jaynes relative entropy is vindicated as the optimal criterion for use…
Vesselin I. DimitrovAug 21, 2007
Learn
Mechanism for linear preferential attachment in growing networks
The network properties of a graph ensemble subject to the constraints imposed by the expected degree sequence are studied. It is found that the linear preferential attachment is a fundamental rule,…
Xinping Xu, Feng Liu, Lianshou LiuAug 20, 2007
Learn
Updating Probabilities with Data and Moments
We use the method of Maximum (relative) Entropy to process information in the form of observed data and moment constraints. The generic "canonical" form of the posterior distribution for the…
Adom Giffin, Ariel CatichaAug 13, 2007
Learn
Relaxational Singularities of Human Motor System at Aging Due to Short-Range and Long-Range Time Correlations
In this paper we study the relaxation singularities of human motor system at aging. Our purpose is to examine the structure of force output variability as a function of human aging in the time and…
Renat M. Yulmetyev, David E. Valliancourt, Fail M. Gafarov et al.Aug 9, 2007
Learn
Structure or Noise?
We show how rate-distortion theory provides a mechanism for automated theory building by naturally distinguishing between regularity and randomness. We start from the simple principle that model…
Susanne Still, James P. CrutchfieldAug 5, 2007
Learn
Brownian motion in a non-homogeneous force field and photonic force microscope
The Photonic Force Microscope (PFM) is an opto-mechanical technique based on an optical trap that can be assumed to probe forces in microscopic systems. This technique has been used to measure forces…
Giorgio Volpe, Giovanni Volpe, Dmitri PetrovAug 3, 2007
Learn
Blind background prediction using a bifurcated analysis scheme
A technique for background prediction using data, but maintaining a closed signal box is described. The result is extended to two background sources. Conditions on the applicability under correlated…
J. Nix, J. Ma, G. N. Perdue et al.Aug 2, 2007
Learn
Non-independent continuous time random walks
The usual development of the continuous time random walk (CTRW) assumes that jumps and time intervals are a two-dimensional set of independent and identically distributed random variables. In this…
Miquel Montero, Jaume MasoliverJul 27, 2007
Learn
Towards journalometrical analysis of a scientific periodical: a case study
In this paper we use several approaches to analyse a scientific journal as a complex system and to make a possibly more complete description of its current state and evolution. Methods of complex…
O. Mryglod, Yu. HolovatchJul 25, 2007
Learn
Detecting spatial patterns with the cumulant function. Part II: An application to El Nino
The spatial coherence of a measured variable (e.g. temperature or pressure) is often studied to determine the regions where this variable varies the most or to find teleconnections, i.e. correlations…
Alberto Bernacchia, Philippe Naveau, Mathieu Vrac et al.Jul 24, 2007
Learn
Synchronized Collective Behavior via Low-cost Communication
An important natural phenomenon surfaces that satisfactory synchronization of self-driven particles can be achieved via sharply reduced communication cost, especially for high density particle groups…
Hai-Tao Zhang, Michael ZhiQiang Chen, Tao ZhouJul 23, 2007
Learn
Continuous Time Random Walks (CTRWs): Simulation of continuous trajectories
Continuous time random walks have been developed as a straightforward generalisation of classical random walk processes. Some 10 years ago, Fogedby introduced a continuous representation of these…
D. Kleinhans, R. FriedrichJul 21, 2007
Learn
← PreviousPage 113Next →