Fatigue independent amplitude-frequency correlations in EMG signalsIn order to assess fatigue independent amplitude-frequency correlations in EMG signals we asked nineteen male subjects to perform a series of isometric muscular contractions by extensors of the knee…Adam Siemienski, Alicja Kebel, Piotr Klajner·Nov 13, 2006SaveLearn
Maximum Likelihood Estimation of Drift and Diffusion FunctionsThe maximum likelihood approach is adapted to the problem of estimation of drift and diffusion functions of stochastic processes from measured time series. We reconcile a previously devised iterative…D. Kleinhans, R. Friedrich·Nov 10, 2006SaveLearn
Statistical variances in traffic dataWe perform statistical analysis of the single-vehicle data measured on the Dutch freeway A9 and discussed in Ref. [2]. Using tools originating from the Random Matrix Theory we show that the…Milan Krbalek, Petr Seba·Nov 6, 2006SaveLearn
Bending Wavelet for Flexural Impulse ResponseThe work addresses the definition of a wavelet that is adapted to analyse a flexural impulse response. The wavelet gives the opportunity to directly analyse the dispersion characteristics of a pulse.…Richard Buessow·Nov 2, 2006SaveLearn
Studies of Stability and Robustness for Artificial Neural Networks and Boosted Decision TreesIn this paper, we compare the performance, stability and robustness of Artificial Neural Networks (ANN) and Boosted Decision Trees (BDT) using MiniBooNE Monte Carlo samples. These methods attempt to…Hai-Jun Yang, Byron P. Roe, Ji Zhu·Oct 31, 2006SaveLearn
Infectious Default Model with Recovery and Continuous LimitWe introduce an infectious default and recovery model for N obligors. Obligors are assumed to be exchangeable and their states are described by N Bernoulli random variables Si (i=1,...,N). They…Ayaka Sakata, Masato Hisakado, Shintaro Mori·Oct 31, 2006SaveLearn
On Computation of Combined IVS EOP SeriesThree topics related to computation of the combined IVS EOP series are discussed. The first one is the consistency of the VLBI EOP series with the IERS reference frames ITRF and ICRF. Not all IVS…Zinovy Malkin·Oct 27, 2006SaveLearn
The Application of Bayesian Technique for Particle IdentificationThe PID problem in high energy physics experiments is analysed with Bayesian technique. The corresponding applicable method is presented.Ding Tian·Oct 26, 2006SaveLearn
Burstiness and Memory in Complex SystemsThe dynamics of a wide range of real systems, from email patterns to earthquakes, display a bursty, intermittent nature, characterized by short timeframes of intensive activity followed by long times…Kwang-Il Goh, Albert-Laszlo Barabasi·Oct 25, 2006SaveLearn
Probability of stochastic processes and spacetime geometryWe made a first attempt to associate a probabilistic description of stochastic processes like birth-death processes with spacetime geometry in the Schwarzschild metrics on distance scales from the…E. Canessa·Oct 24, 2006SaveLearn
High-Order Correlation Functions of Binary Multi-Step Markov ChainsTwo approaches to studying the correlation functions of the binary Markov sequences are considered. The first of them is based on the study of probability of occurring different…S. S. Apostolov, Z. A. Mayzelis, O. V. Usatenko et al.·Oct 11, 2006SaveLearn
Solution to the twin image problem in holographyWhile the invention of holography by Dennis Gabor truly constitutes an ingenious concept, it has ever since been troubled by the so called twin image problem limiting the information that can be…Tatiana Latychevskaia, Hans-Werner Fink·Oct 9, 2006SaveLearn
Artifacts with uneven sampling of red noiseThe vast majority of sampling systems operate in a standard way: at each tick of a fixed-frequency master clock a digitizer reads out a voltage that corresponds to the value of some physical quantity…Edoardo Milotti·Oct 1, 2006SaveLearn
Variable selection based on entropic criterion and its application to the debris-flow triggeringWe propose a new data analyzing scheme, the method of minimum entropy analysis (MEA), in this paper. New MEA provides a quantitative criterion to select relevant variables for modeling the physical…Chien-chih Chen, Chih-Yuan Tseng, Jia-Jyun Dong·Sep 29, 2006SaveLearn
On data analysis and variable selection: the minimum entropy analysisIn this work, we present a minimum entropy analysis scheme for variable selection and preliminary data analysis. The variable selection can be achieved by the increasing preference of variables. We…Chih-Yuan Tseng, Chien-Chih CHen·Sep 29, 2006SaveLearn
Impact of non-Poisson activity patterns on spreading processesHalting a computer or biological virus outbreak requires a detailed understanding of the timing of the interactions between susceptible and infected individuals. While current spreading models assume…Alexei Vazquez, Racz Balazs, Lukacs Andras et al.·Sep 21, 2006SaveLearn
Phase transition and hysteresis in scale-free network trafficWe model information traffic on scale-free networks by introducing the node queue length L proportional to the node degree and its delivering ability C proportional to L. The simulation gives the…Mao-Bin Hu, Wen-Xu Wang, Rui Jiang et al.·Sep 15, 2006SaveLearn
Modeling, Performance Analysis and Comparison of Two Level Single Chain Pointer Forwarding Strategy For Location Management in Wireless Mobile CommunicationGlobal wireless networks enable mobile users to communicate regardless of their locations. Location management is an important part of the emerging wireless and mobile technology. A Personal…Chhaya Ravi Kant, P. Arun, Nupur Prakash·Sep 14, 2006SaveLearn
The Flow Dimension and Capacity for Structuring Urban Street NetworksThis paper aims to measure the efficiency of urban street networks (a kind of complex networks) from the perspective of the multidimensional chain of connectivity (or flow). More specifically, we…Bin Jiang·Sep 12, 2006SaveLearn
Direct sample estimates of multidimensional quadratic statistical functions: application to the anisotropic KPZ equationWe suggest a class of direct sample estimates for the two-point quadratic statistical functions of multidimensional data, which includes: estimates of the sample autocovariance function (AcF), sample…Ivailo S. Atanasov, Oleg I. Yordanov·Sep 10, 2006SaveLearn
Fast Spatial Prediction from Inhomogeneously Sampled Data Based on Generalized Random Fields with Gibbs Energy FunctionalsAn explicit optimal linear spatial predictor is derived. The spatial correlations are imposed by means of Gibbs energy functionals with explicit coupling coefficients instead of covariance matrices.…D. T. Hristopulos, S. N. Elogne·Sep 8, 2006SaveLearn
Fear and its implications for stock marketsThe value of stocks, indices and other assets, are examples of stochastic processes with unpredictable dynamics. In this paper, we discuss asymmetries in short term price movements that can not be…Ingve Simonsen, Peter Toke Heden Ahlgren, Mogens H. Jensen et al.·Sep 6, 2006SaveLearn
Knowledge Network Approach to Noise ReductionPrevious preliminary results on the application of knowledge networks to noise reduction in stationary harmonic and weakly chaotic signals are extended to more general cases. The formalism gives a…Arturo Berrones·Sep 6, 2006SaveLearn
A Generalized Preferential Attachment Model for Business Firms Growth Rates: I. Empirical EvidenceWe introduce a model of proportional growth to explain the distribution P(g) of business firm growth rates. The model predicts that P(g) is Laplace in the central part and depicts an asymptotic…Fabio Pammolli, Dongfeng Fu, S. V. Buldyrev et al.·Sep 1, 2006SaveLearn
Variational method for estimating the rate of convergence of Markov Chain Monte Carlo algorithmsWe demonstrate the use of a variational method to determine a quantitative lower bound on the rate of convergence of Markov Chain Monte Carlo (MCMC) algorithms as a function of the target density and…Fergal P. Casey, Joshua J. Waterfall, Ryan N. Gutenkunst et al.·Aug 31, 2006SaveLearn