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    ML
    2006
    ACM
    82views Machine Learning» more  ML 2006»
    Type-sensitive control-flow analysis
    13 years 7 months ago
    Type-sensitive control-flow analysis
    Download  www.cs.uchicago.edu
    Higher-order typed languages, such as ML, provide strong support for data and type abn. While such abstraction is often viewed as costing performance, there are situations where i...
    John H. Reppy
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    MLDM
    2008
    Springer
    148views Machine Learning» more  MLDM 2008»
    Distributed Monitoring of Frequent Items
    13 years 7 months ago
    Distributed Monitoring of Frequent Items
    Download  www.ibai-publishing.org
    Monitoring frequently occuring items is a recurring task in a variety of applications. Although a number of solutions have been proposed there has been few to address the problem i...
    Robert Fuller, Mehmed M. Kantardzic
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    MLDM
    2008
    Springer
    117views Machine Learning» more  MLDM 2008»
    Hybrid Rule Ordering in Classification Association Rule Mining
    13 years 7 months ago
    Hybrid Rule Ordering in Classification Association Rule Mining
    Download  www.csc.liv.ac.uk
    Yanbo J. Wang, Qin Xin, Frans Coenen
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    MLDM
    2008
    Springer
    121views Machine Learning» more  MLDM 2008»
    Classification Based on Consistent Itemset Rules
    13 years 7 months ago
    Classification Based on Consistent Itemset Rules
    Download  www.ibai-publishing.org
    Abstract. We propose an approach to build a classifier composing consistent (100% confident) rules. Recently, associative classifiers that utilize association rules have been widel...
    Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura
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    ML
    2008
    ACM
    74views Machine Learning» more  ML 2008»
    Flexible latent variable models for multi-task learning
    13 years 7 months ago
    Flexible latent variable models for multi-task learning
    Download  www.stat.purdue.edu
    Jian Zhang 0003, Zoubin Ghahramani, Yiming Yang
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    ML
    2008
    ACM
    134views Machine Learning» more  ML 2008»
    Multilabel classification via calibrated label ranking
    13 years 7 months ago
    Multilabel classification via calibrated label ranking
    Download  www.mathematik.uni-marburg.de
    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
    ACM
    150views Machine Learning» more  ML 2008»
    Learning probabilistic logic models from probabilistic examples
    13 years 7 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
    ACM
    86views Machine Learning» more  ML 2008»
    Structured machine learning: the next ten years
    13 years 7 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
    ACM
    99views Machine Learning» more  ML 2008»
    A bias/variance decomposition for models using collective inference
    13 years 7 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
    ACM
    80views Machine Learning» more  ML 2008»
    A notion of task relatedness yielding provable multiple-task learning guarantees
    13 years 7 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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