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    ICASSP
    2008
    IEEE
    145views Signal Processing» more  ICASSP 2008»
    Fast speaker adaptation using non-negative matrix factorization
    15 years 4 months ago
    Fast speaker adaptation using non-negative matrix factorization
    Download  www.esat.kuleuven.be
    This paper describes a new method for fast speaker adaptation in large vocabulary recognition systems. As in most HMM-based recognizers, the observation densities are modeled as a...
    Jacques Duchateau, Tobias Leroy, Kris Demuynck, Hu...
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    JMLR
    2006
    136views more  JMLR 2006»
    Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
    14 years 9 months ago
    Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
    Download  jmlr.csail.mit.edu
    In this paper we consider a novel Bayesian interpretation of Fisher's discriminant analysis. We relate Rayleigh's coefficient to a noise model that minimises a cost base...
    Tonatiuh Peña Centeno, Neil D. Lawrence
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    ICASSP
    2008
    IEEE
    200views Signal Processing» more  ICASSP 2008»
    A new mutual information measure for independent component alalysis
    15 years 4 months ago
    A new mutual information measure for independent component alalysis
    Download  www.furui.cs.titech.ac.jp
    Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
    Jen-Tzung Chien, Hsin-Lung Hsieh, Sadaoki Furui
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    EOR
    2007
    165views more  EOR 2007»
    Adaptive credit scoring with kernel learning methods
    14 years 9 months ago
    Adaptive credit scoring with kernel learning methods
    Download  www.crc.man.ed.ac.uk
    Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
    Yingxu Yang
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    BMCBI
    2010
    152views more  BMCBI 2010»
    Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis
    14 years 9 months ago
    Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis
    Download  www.biomedcentral.com
    Background: One of the challenges of bioinformatics remains the recognition of short signal sequences in genomic DNA such as donor or acceptor splice sites, splicing enhancers or ...
    Jens Keilwagen, Jan Grau, Stefan Posch, Ivo Grosse
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