Sciweavers

    5154 search results - page 7 / 1031
    » Computing and using residuals in time series models
    Sort
    View
    NC
    2006
    132views Neural Networks» more  NC 2006»
    Learning short multivariate time series models through evolutionary and sparse matrix computation
    13 years 7 months ago
    Learning short multivariate time series models through evolutionary and sparse matrix computation
    Download  bura.brunel.ac.uk
    Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
    Stephen Swift, Joost N. Kok, Xiaohui Liu
    claim paper
    Read More »
    ISBI
    2004
    IEEE
    160views Medical Imaging» more  ISBI 2004»
    Incremental Activation Detection in fMRI Series Using Kalman Filtering
    14 years 8 months ago
    Incremental Activation Detection in fMRI Series Using Kalman Filtering
    Download  ftp.cea.fr
    We propose a new detection algorithm for functional magnetic resonance imaging (fMRI) data. Our basic idea is to use an extended Kalman filter (EKF) to fit a general linear model ...
    Alexis Roche, Jean-Baptiste Poline, Pierre-Jean La...
    claim paper
    Read More »
    CSB
    2003
    IEEE
    176views Bioinformatics» more  CSB 2003»
    3D Structural Homology Detection via Unassigned Residual Dipolar Couplings
    14 years 24 days ago
    3D Structural Homology Detection via Unassigned Residual Dipolar Couplings
    Download  www.cs.dartmouth.edu
    Recognition of a protein’s fold provides valuable information about its function. While many sequence-based homology prediction methods exist, an important challenge remains: tw...
    Christopher James Langmead, Bruce Randall Donald
    claim paper
    Read More »
    SDM
    2010
    SIAM
    156views Data Mining» more  SDM 2010»
    Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
    13 years 9 months ago
    Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
    Download  cs.ucla.edu
    We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
    Alireza Vahdatpour, Majid Sarrafzadeh
    claim paper
    Read More »
    SDM
    2009
    SIAM
    127views Data Mining» more  SDM 2009»
    Event Discovery in Time Series.
    14 years 4 months ago
    Event Discovery in Time Series.
    Download  www.siam.org
    The discovery of events in time series can have important implications, such as identifying microlensing events in astronomical surveys, or changes in a patient’s electrocardiog...
    Carla E. Brodley, Dan Preston, Pavlos Protopapas
    claim paper
    Read More »
    Explore & Download
    Proceedings Preprints Top 5 Ranked Papers Publications Books Software Tutorials Presentations Lectures Notes Datasets
    Productivity Tools
    International On-screen Keyboard Graphical Social Symbols OCR Text Recognition CSS3 Style Generator Web Page to PDF Web Page to Image PDF Split PDF Merge Latex Equation Editor Sci2ools
    Document Tools
    PDF to Text PDF to Postscript PDF to Thumbnails Excel to PDF Word to PDF Postscript to PDF PowerPoint to PDF Latex to Word Repair Corrupted PDF
    Image Tools
    JPG to PS JPG to PDF Extract Images from PDF Image Converter
    Sciweavers
    About Community Cookies Privacy Policy Terms of Use

    Copyright © Sciweavers LLC, 2009-2024, USA.