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    ECMDAFA
    2008
    Springer
    158views Hardware» more  ECMDAFA 2008»
    Modeling Human Aspects of Business Processes - A View-Based, Model-Driven Approach
    14 years 15 days ago
    Modeling Human Aspects of Business Processes - A View-Based, Model-Driven Approach
    Download  www.infosys.tuwien.ac.at
    Human participation in business processes needs to be addressed in process modeling. BPEL4People with WS-HumanTask covers this concern in the context of BPEL. Bound to specific wor...
    Ta'id Holmes, Huy Tran, Uwe Zdun, Schahram Dustdar
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    AAAI
    2010
    206views Intelligent Agents» more  AAAI 2010»
    Decision-Theoretic Control of Crowd-Sourced Workflows
    14 years 6 days ago
    Decision-Theoretic Control of Crowd-Sourced Workflows
    Download  www.cs.washington.edu
    Crowd-sourcing is a recent framework in which human intelligence tasks are outsourced to a crowd of unknown people ("workers") as an open call (e.g., on Amazon's Me...
    Peng Dai, Mausam, Daniel S. Weld
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    AAAI
    2010
    152views Intelligent Agents» more  AAAI 2010»
    Structure Learning for Markov Logic Networks with Many Descriptive Attributes
    14 years 6 days ago
    Structure Learning for Markov Logic Networks with Many Descriptive Attributes
    Download  www.cs.sfu.ca
    Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
    Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
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    CCCG
    2010
    156views Computational Geometry» more  CCCG 2010»
    On the variance of random polygons
    14 years 6 days ago
    On the variance of random polygons
    Download  www.cs.umanitoba.ca
    A random polygon is the convex hull of uniformly distributed random points in a convex body K R2 . General upper bounds are established for the variance of the area of a random p...
    William L. Steiger, Imre Bárány
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    DMIN
    2007
    186views Data Mining» more  DMIN 2007»
    Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
    14 years 5 days ago
    Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
    Download  storm.cis.fordham.edu
    - The classifier built from a data set with a highly skewed class distribution generally predicts the more frequently occurring classes much more often than the infrequently occurr...
    Gary M. Weiss, Kate McCarthy, Bibi Zabar
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