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    AISS
    2010
    114views more  AISS 2010»
    An Approach to Predict Performance of Component-based Software with the Palladio Component Model and Stochastic Well-formed Nets
    13 years 8 months ago
    An Approach to Predict Performance of Component-based Software with the Palladio Component Model and Stochastic Well-formed Nets
    Download  www.aicit.org
    Jing Sha, Changjun Jiang
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    TSE
    2002
    96views more  TSE 2002»
    Better Reliability Assessment and Prediction through Data Clustering
    13 years 10 months ago
    Better Reliability Assessment and Prediction through Data Clustering
    Download  lyle.smu.edu
    This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...
    Jeff Tian
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    CN
    1998
    118views more  CN 1998»
    Predicting Network Traffic for Collaborative Virtual Environments
    13 years 10 months ago
    Predicting Network Traffic for Collaborative Virtual Environments
    Download  www.crg.cs.nott.ac.uk
    We introduce a method for predicting the network traffic that will be generated by Collaborative Virtual Environment applications with varying numbers of participants. Statistical...
    Chris Greenhalgh, Steve Benford, Adrian Bullock, N...
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    ESWA
    2010
    118views more  ESWA 2010»
    Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
    13 years 9 months ago
    Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
    Download  w3.cyu.edu.tw
    The forecasting of stock price is one of the most challenging tasks in investment/financial decision-making since stock prices/indices are inherently noisy and non-stationary. In ...
    Chi-Jie Lu
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    ICML
    2010
    IEEE
    198views Machine Learning» more  ICML 2010»
    Approximate Predictive Representations of Partially Observable Systems
    13 years 8 months ago
    Approximate Predictive Representations of Partially Observable Systems
    Download  www.icml2010.org
    We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
    Monica Dinculescu, Doina Precup
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