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    JMLR
    2002
    133views more  JMLR 2002»
    Learning Precise Timing with LSTM Recurrent Networks
    13 years 7 months ago
    Learning Precise Timing with LSTM Recurrent Networks
    Download  jmlr.csail.mit.edu
    The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
    Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
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    SIGIR
    2005
    ACM
    144views Information Technology» more  SIGIR 2005»
    An industrial-strength content-based music recommendation system
    14 years 1 months ago
    An industrial-strength content-based music recommendation system
    Download  mtg.upf.edu
    We present a metadata free system for the interaction with massive collections of music, the MusicSurfer. MusicSurfer automatically extracts descriptions related to instrumentatio...
    Pedro Cano, Markus Koppenberger, Nicolas Wack
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    BMCBI
    2010
    146views more  BMCBI 2010»
    Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery
    13 years 7 months ago
    Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery
    Download  www.biomedcentral.com
    Background: As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. Ho...
    Henry Han
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    SIAMADS
    2010
    100views more  SIAMADS 2010»
    Optimal Intrinsic Dynamics for Bursting in a Three-Cell Network
    13 years 2 months ago
    Optimal Intrinsic Dynamics for Bursting in a Three-Cell Network
    Download  www.mathematics.pitt.edu
    Previous numerical and analytical work has shown that synaptic coupling can allow a network of model neurons to synchronize despite heterogeneity in intrinsic parameter values. In ...
    Justin R. Dunmyre, Jonathan E. Rubin
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    PRL
    2006
    94views more  PRL 2006»
    Improving visual evoked potential feature classification for person recognition using PCA and normalization
    13 years 7 months ago
    Improving visual evoked potential feature classification for person recognition using PCA and normalization
    Download  privatewww.essex.ac.uk
    In earlier papers, it was shown that recognizing persons using their brain patterns evoked during visual stimulus is possible. In this paper, several modifications are proposed to...
    Ramaswamy Palaniappan, K. V. R. Ravi
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