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    ICMLA
    2004
    88views Machine Learning» more  ICMLA 2004»
    Reducing complexity of rule based models via meta mining
    13 years 8 months ago
    Reducing complexity of rule based models via meta mining
    Download  biomine.ece.ualberta.ca
    Complexity, or in other words compactness, of models generated by rule learners is one of often neglected issues, although it has a profound effect on the success of any project t...
    Lukasz A. Kurgan
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    ICMLA
    2007
    95views Machine Learning» more  ICMLA 2007»
    SVMotif: A Machine Learning Motif Algorithm
    13 years 8 months ago
    SVMotif: A Machine Learning Motif Algorithm
    Download  math.bu.edu
    We describe SVMotif, a support vector machine-based learning algorithm for identification of cellular DNA transcription factor (TF) motifs extrapolated from known TF-gene interact...
    Mark A. Kon, Yue Fan, Dustin T. Holloway, Charles ...
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    ICMLA
    2007
    104views Machine Learning» more  ICMLA 2007»
    Predicting building contamination using machine learning
    13 years 8 months ago
    Predicting building contamination using machine learning
    Download  www.cs.sandia.gov
    Shawn Martin, Sean McKenna
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    ICMLA
    2007
    80views Machine Learning» more  ICMLA 2007»
    Modifying kernels using label information improves SVM classification performance
    13 years 8 months ago
    Modifying kernels using label information improves SVM classification performance
    Download  www.cs.toronto.edu
    Martin Renqiang Min, Anthony J. Bonner, Zhaolei Zh...
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    ICMLA
    2007
    94views Machine Learning» more  ICMLA 2007»
    Phase transition and heuristic search in relational learning
    13 years 8 months ago
    Phase transition and heuristic search in relational learning
    Download  www-lipn.univ-paris13.fr
    Several works have shown that the covering test in relational learning exhibits a phase transition in its covering probability. It is argued that this phase transition dooms every...
    Érick Alphonse, Aomar Osmani
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    ICMLA
    2007
    126views Machine Learning» more  ICMLA 2007»
    Learning to evaluate conditional partial plans
    13 years 8 months ago
    Learning to evaluate conditional partial plans
    Download  www.cs.lth.se
    In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
    Slawomir Nowaczyk, Jacek Malec
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    ICMLA
    2007
    105views Machine Learning» more  ICMLA 2007»
    Learning bayesian networks consistent with the optimal branching
    13 years 8 months ago
    Learning bayesian networks consistent with the optimal branching
    Download  kdbio.inesc-id.pt
    We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
    Alexandra M. Carvalho, Arlindo L. Oliveira
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    ICMLA
    2007
    76views Machine Learning» more  ICMLA 2007»
    Boosting inductive transfer for text classification using wikipedia
    13 years 8 months ago
    Boosting inductive transfer for text classification using wikipedia
    Download  www.hpl.hp.com
    Somnath Banerjee
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    ICMLA
    2007
    104views Machine Learning» more  ICMLA 2007»
    Scalable optimal linear representation for face and object recognition
    13 years 8 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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    ICMLA
    2007
    106views Machine Learning» more  ICMLA 2007»
    Learning complex problem solving expertise from failures
    13 years 8 months ago
    Learning complex problem solving expertise from failures
    Download  lalab.gmu.edu
    Our research addresses the issue of developing knowledge-based agents that capture and use the problem solving knowledge of subject matter experts from diverse application domains...
    Cristina Boicu, Gheorghe Tecuci, Mihai Boicu
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