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    ACL
    2008
    168views Computational Linguistics» more  ACL 2008»
    Unsupervised Learning of Acoustic Sub-word Units
    14 years 11 months ago
    Unsupervised Learning of Acoustic Sub-word Units
    Download  aclweb.org
    Accurate unsupervised learning of phonemes of a language directly from speech is demonstrated via an algorithm for joint unsupervised learning of the topology and parameters of a ...
    Balakrishnan Varadarajan, Sanjeev Khudanpur, Emman...
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    IJON
    2006
    95views more  IJON 2006»
    Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis
    14 years 9 months ago
    Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis
    Download  www2.in.tu-clausthal.de
    A correlation-based similarity measure is derived for generalized relevance learning vector quantization (GRLVQ). The resulting GRLVQ-C classifier makes Pearson correlation availa...
    Marc Strickert, Udo Seiffert, Nese Sreenivasulu, W...
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    JUCS
    2006
    185views more  JUCS 2006»
    The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
    14 years 9 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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    CRV
    2009
    IEEE
    115views Robotics» more  CRV 2009»
    Learning Model Complexity in an Online Environment
    15 years 4 months ago
    Learning Model Complexity in an Online Environment
    Download  cbcl.mit.edu
    In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
    Dan Levi, Shimon Ullman
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    ICASSP
    2007
    IEEE
    115views Signal Processing» more  ICASSP 2007»
    Wavelet Footprints and Sparse Bayesian Learning for DNA Copy Number Change Analysis
    15 years 4 months ago
    Wavelet Footprints and Sparse Bayesian Learning for DNA Copy Number Change Analysis
    Download  biron.usc.edu
    Alterations in the number of DNA copies are very common in tumor cells and may have a very important role in cancer development and progression. New array platforms provide means ...
    Roger Pique-Regi, En-Shuo Tsau, Antonio Ortega, Ro...
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