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    ML
    2006
    ACM
    88views Machine Learning» more  ML 2006»
    Using duration models to reduce fragmentation in audio segmentation
    13 years 11 months ago
    Using duration models to reduce fragmentation in audio segmentation
    Download  www.doc.gold.ac.uk
    We investigate explicit segment duration models in addressing the problem of fragmentation in musical audio segmentation. The resulting probabilistic models are optimised using Mar...
    Samer A. Abdallah, Mark B. Sandler, Christophe Rho...
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    ML
    2006
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    113views Machine Learning» more  ML 2006»
    An analysis of diversity measures
    13 years 11 months ago
    An analysis of diversity measures
    Download  www.cs.bham.ac.uk
    E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
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    ML
    2006
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    187views Machine Learning» more  ML 2006»
    Modeling, analyzing, and synthesizing expressive piano performance with graphical models
    13 years 11 months ago
    Modeling, analyzing, and synthesizing expressive piano performance with graphical models
    Download  www.ee.columbia.edu
    Abstract Trained musicians intuitively produce expressive variations that add to their audience's enjoyment. However, there is little quantitative information about the kinds ...
    Graham Grindlay, David P. Helmbold
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    ML
    2006
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    132views Machine Learning» more  ML 2006»
    A suffix tree approach to anti-spam email filtering
    13 years 11 months ago
    A suffix tree approach to anti-spam email filtering
    Download  www.dcs.bbk.ac.uk
    We present an approach to email filtering based on the suffix tree data structure. A method for the scoring of emails using the suffix tree is developed and a number of scoring and...
    Rajesh Pampapathi, Boris Mirkin, Mark Levene
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    2006
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    103views Machine Learning» more  ML 2006»
    Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming
    13 years 11 months ago
    Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming
    Download  www.castlelab.princeton.edu
    Abraham P. George, Warren B. Powell
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    ML
    2006
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    142views Machine Learning» more  ML 2006»
    The max-min hill-climbing Bayesian network structure learning algorithm
    13 years 11 months ago
    The max-min hill-climbing Bayesian network structure learning algorithm
    Download  www.dsl-lab.org
    We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
    Ioannis Tsamardinos, Laura E. Brown, Constantin F....
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    ML
    2006
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    149views Machine Learning» more  ML 2006»
    A case based approach to expressivity-aware tempo transformation
    13 years 11 months ago
    A case based approach to expressivity-aware tempo transformation
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    The research presented in this paper is focused on global tempo transformations of music performances. We are investigating the problem of how a performance played at a particular...
    Maarten Grachten, Josep Lluís Arcos, Ramon ...
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    ML
    2006
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    96views Machine Learning» more  ML 2006»
    Aligning music audio with symbolic scores using a hybrid graphical model
    13 years 11 months ago
    Aligning music audio with symbolic scores using a hybrid graphical model
    Download  xavier.informatics.indiana.edu
    Christopher Raphael
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    ML
    2006
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    108views Machine Learning» more  ML 2006»
    MODL: A Bayes optimal discretization method for continuous attributes
    13 years 11 months ago
    MODL: A Bayes optimal discretization method for continuous attributes
    Download  perso.rd.francetelecom.fr
    Marc Boullé
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    ML
    2006
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    109views Machine Learning» more  ML 2006»
    Cost curves: An improved method for visualizing classifier performance
    13 years 11 months ago
    Cost curves: An improved method for visualizing classifier performance
    Download  www.cs.wisc.edu
    Abstract This paper introduces cost curves, a graphical technique for visualizing the performance (error rate or expected cost) of 2-class classifiers over the full range of possib...
    Chris Drummond, Robert C. Holte
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