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    ICMLA
    2008
    116views Machine Learning» more  ICMLA 2008»
    Ensemble Machine Methods for DNA Binding
    13 years 11 months ago
    Ensemble Machine Methods for DNA Binding
    Download  math.bu.edu
    We introduce three ensemble machine learning methods for analysis of biological DNA binding by transcription factors (TFs). The goal is to identify both TF target genes and their ...
    Yue Fan, Mark A. Kon, Charles DeLisi
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    ICMLA
    2007
    104views Machine Learning» more  ICMLA 2007»
    Scalable optimal linear representation for face and object recognition
    13 years 11 months ago
    Scalable optimal linear representation for face and object recognition
    Download  ww2.cs.fsu.edu
    Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
    Yiming Wu, Xiuwen Liu, Washington Mio
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    IJCAI
    2007
    215views Artificial Intelligence» more  IJCAI 2007»
    A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
    13 years 11 months ago
    A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
    Download  www.ijcai.org
    The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
    Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
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    IJCAI
    2007
    280views Artificial Intelligence» more  IJCAI 2007»
    Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
    13 years 11 months ago
    Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
    Download  www.ijcai.org
    Coronary Heart Disease can be diagnosed by measuring and scoring regional motion of the heart wall in ultrasound images of the left ventricle (LV) of the heart. We describe a comp...
    Maleeha Qazi, Glenn Fung, Sriram Krishnan, R&oacut...
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    NIPS
    2008
    132views Information Technology» more  NIPS 2008»
    Multi-label Multiple Kernel Learning
    13 years 11 months ago
    Multi-label Multiple Kernel Learning
    Download  www.public.asu.edu
    We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
    Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye
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