Results 221 to 230 of about 638,996 (262)

Series of Dynamic Targeted Recommendations

2002
Merchants often use marketing elements such as advertisements, coupons and product recommendations, to attract customers and to convert visitors to buyers. We present a model for making a series of recommendations during a customer session. The model comprises of the customer's probability of accepting a marketing element from a marketing spot and a ...
Natwar Modani, Parul A. Mittal, Amit Anil Nanavati, Biplav Srivastava   +3 more
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Generalized series dynamic imaging

Proceedings International Workshop on Medical Imaging and Augmented Reality, 2002
Many imaging applications require the acquisition of a time series of images. In conventional Fourier transform-based imaging methods, each of these images is acquired independently. As a result, the temporal resolution possible is limited by the number of data points collected for each data set, or one often was to sacrifice spatial resolution for ...
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Molecular Dynamics Simulation of nCB series

AIP Conference Proceedings, 2007
This study describes the molecular dynamics (MD) simulations of the 4‐n‐alkyl‐4′‐cyanobiphenyl (nCB, n=5–9) liquid crystal homologous series at a selected temperature in the nematic phase. The order parameters and the biaxialities for five mesogens were found to be reasonable agreement with experiments.
Capar, M. Ilk, Cebe, E.
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Dynamical Realizations of Finite Volterra Series

SIAM Journal on Control and Optimization, 1980
In this paper, realizations of finite Volterra series are viewed as nonlinear analytic input–output systems, with state space described by an analytic manifold. For a minimal realization guaranteed by H. J. Sussmann, the state space, which is unique up to diffeomorphism, is shown to have the homogeneous space structure of a nilmanifold, the quotient of
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Time Series and Dynamic Models

Journal of the American Statistical Association, 1998
Preface 1. Introduction Part I. Traditional Methods: 2. Linear regression for seasonal adjustment 3. Moving averages for seasonal adjustment 4. Exponential smoothing methods Part II. Probabilistic and Statistical Properties of Stationary Processes: 5. Some results on the univariate processes 6. The Box and Jenkins method for forecasting 7. Multivariate
Errol Caby, Christian Gourieroux, Alain Monfort   +2 more
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Time Series Analysis of the Dynamics of News Websites

2012 13th International Conference on Parallel and Distributed Computing, Applications and Technologies, 2012
The content of news websites changes frequently and rapidly and its relevance tends to decay with time. To be of any value to the users, tools, such as, search engines, have to cope with the dynamics of websites and detect changes in a timely manner. In this paper we apply time series analysis to study the properties and the temporal patterns of the ...
Mariacarla Calzarossa, Daniele Tessera
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Dynamical SVM for Time Series Classification

2012
We present a method for classifying multidimensional time series using concepts from nonlinear dynamical systems theory. Our contribution is an extension of support vector machines (SVM) that controls a nonlinear dynamical system. We use a chain of coupled Rossler oscillators with diffusive coupling to model highly nonlinear and chaotic time series ...
Ramón Huerta, Shankar Vembu, Mehmet K. Muezzinoglu, Alexander Vergara   +3 more
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Fluctuation Dynamics in Electroencephalogram Time Series

2005
We investigated the characterization of the complexity of electroencephalogram (EEG) fluctuations by monofractals and multifractals. We used EEG time series taken from normal, healthy subjects with their eyes open and their eyes closed, and from patients during epileptic seizures.
In-Ho Song, Doo-Soo Lee
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Dynamic Symbolization of Streaming Time Series

2004
Symbolization of time series is an important preprocessing subroutine for many data mining tasks. However, it is usually difficult, if not impossible, to apply the traditional static symbolization approach on streaming time series, because of either the low efficiency of re-computing the typical sub-series, or the low capability of representing the up ...
Xiaoming Jin, Jianmin Wang 0001, Jia-Guang Sun 0001   +2 more
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Optimization of CSTRs in series by dynamic programming

Biotechnology and Bioengineering, 1986
AbstractThis article concerns the development of a simple yet effective procedure for optimizing the design of a reactor system employing CSTRs in series. The basic approach used in this work was to translate the problem of reactor design to a mathematical programming model. The resulting model was then solved by dynamic programming.
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