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    ML
    2008
    ACM
    110views Machine Learning» more  ML 2008»
    A theory of learning with similarity functions
    13 years 3 months ago
    A theory of learning with similarity functions
    Download  www.cs.cmu.edu
    Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
    Maria-Florina Balcan, Avrim Blum, Nathan Srebro
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    ML
    2008
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    174views Machine Learning» more  ML 2008»
    ALLPAD: approximate learning of logic programs with annotated disjunctions
    13 years 4 months ago
    ALLPAD: approximate learning of logic programs with annotated disjunctions
    Download  www.ing.unife.it
    In this paper we present the system ALLPAD for learning Logic Programs with Annotated Disjunctions (LPADs). ALLPAD modifies the previous system LLPAD in order to tackle real world ...
    Fabrizio Riguzzi
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    ML
    2008
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    74views Machine Learning» more  ML 2008»
    Flexible latent variable models for multi-task learning
    13 years 4 months ago
    Flexible latent variable models for multi-task learning
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    Jian Zhang 0003, Zoubin Ghahramani, Yiming Yang
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    ML
    2008
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    134views Machine Learning» more  ML 2008»
    Multilabel classification via calibrated label ranking
    13 years 4 months ago
    Multilabel classification via calibrated label ranking
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    Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
    Johannes Fürnkranz, Eyke Hüllermeier, En...
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    ML
    2008
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    150views Machine Learning» more  ML 2008»
    Learning probabilistic logic models from probabilistic examples
    13 years 4 months ago
    Learning probabilistic logic models from probabilistic examples
    Download  ftp.cs.wisc.edu
    Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
    Jianzhong Chen, Stephen Muggleton, José Car...
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    ML
    2008
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    86views Machine Learning» more  ML 2008»
    Structured machine learning: the next ten years
    13 years 4 months ago
    Structured machine learning: the next ten years
    Download  www.doc.ic.ac.uk
    Thomas G. Dietterich, Pedro Domingos, Lise Getoor,...
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    ML
    2008
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    99views Machine Learning» more  ML 2008»
    A bias/variance decomposition for models using collective inference
    13 years 4 months ago
    A bias/variance decomposition for models using collective inference
    Download  www.cs.purdue.edu
    Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
    Jennifer Neville, David Jensen
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    ML
    2008
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    80views Machine Learning» more  ML 2008»
    A notion of task relatedness yielding provable multiple-task learning guarantees
    13 years 4 months ago
    A notion of task relatedness yielding provable multiple-task learning guarantees
    Download  www.cs.uwaterloo.ca
    Shai Ben-David, Reba Schuller Borbely
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    ML
    2008
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    222views Machine Learning» more  ML 2008»
    Boosted Bayesian network classifiers
    13 years 4 months ago
    Boosted Bayesian network classifiers
    Download  www.cs.rutgers.edu
    The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
    Yushi Jing, Vladimir Pavlovic, James M. Rehg
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    ML
    2008
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    100views Machine Learning» more  ML 2008»
    Convex multi-task feature learning
    13 years 4 months ago
    Convex multi-task feature learning
    Download  www.cs.ucl.ac.uk
    Andreas Argyriou, Theodoros Evgeniou, Massimiliano...
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