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    JUCS
    2006
    185views more  JUCS 2006»
    The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
    13 years 8 months ago
    The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
    Download  eprints.pascal-network.org
    We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
    Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
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    JNCA
    2011
    126views more  JNCA 2011»
    Coordinated session-based admission control with statistical learning for multi-tier internet applications
    13 years 3 months ago
    Coordinated session-based admission control with statistical learning for multi-tier internet applications
    Download  www.cs.uccs.edu
    Popular Internet applications deploy a multi-tier architecture, with each tier provisioning a certain functionality to its preceding tier. In this paper, we address the challengin...
    Sireesha Muppala, Xiaobo Zhou
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    LCTRTS
    2007
    Springer
    180views System Software» more  LCTRTS 2007»
    Integrated CPU and l2 cache voltage scaling using machine learning
    14 years 2 months ago
    Integrated CPU and l2 cache voltage scaling using machine learning
    Download  www.cs.pitt.edu
    Embedded systems serve an emerging and diverse set of applications. As a result, more computational and storage capabilities are added to accommodate ever more demanding applicati...
    Nevine AbouGhazaleh, Alexandre Ferreira, Cosmin Ru...
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    IROS
    2009
    IEEE
    177views Robotics» more  IROS 2009»
    A learning approach to integration of layers of a hybrid control architecture
    14 years 3 months ago
    A learning approach to integration of layers of a hybrid control architecture
    Download  www.cc.gatech.edu
    — Hybrid deliberative-reactive control architectures are a popular and effective approach to the control of robotic navigation applications. However, the design of said architect...
    Matthew Powers, Tucker R. Balch
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    CVPR
    2005
    IEEE
    222views Computer Vision» more  CVPR 2005»
    Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging
    14 years 10 months ago
    Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging
    Download  www.cs.sunysb.edu
    Functional Magnetic Resonance Imaging (fMRI) has enabled scientists to look into the active human brain. FMRI provides a sequence of 3D brain images with intensities representing ...
    Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, No...
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