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    JMLR
    2008
    110views more  JMLR 2008»
    Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
    14 years 9 months ago
    Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
    Download  jmlr.csail.mit.edu
    We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
    Matthias W. Seeger
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    JMLR
    2008
    144views more  JMLR 2008»
    Search for Additive Nonlinear Time Series Causal Models
    14 years 9 months ago
    Search for Additive Nonlinear Time Series Causal Models
    Download  jmlr.csail.mit.edu
    Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
    Tianjiao Chu, Clark Glymour
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    JMM2
    2008
    124views more  JMM2 2008»
    Integrated Feature Selection and Clustering for Taxonomic Problems within Fish Species Complexes
    14 years 9 months ago
    Integrated Feature Selection and Clustering for Taxonomic Problems within Fish Species Complexes
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    As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...
    Huimin Chen, Henry L. Bart Jr., Shuqing Huang
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    JIRS
    2006
    113views more  JIRS 2006»
    Using Virtual Pheromones and Cameras for Dispersing a Team of Multiple Miniature Robots
    14 years 9 months ago
    Using Virtual Pheromones and Cameras for Dispersing a Team of Multiple Miniature Robots
    Download  www.cs.cmu.edu
    To safely and efficiently guide personnel of search and rescue operations in disaster areas, swift gathering of relevant information such as the locations of victims, must occur. U...
    Janice L. Pearce, Bob Powers, Chistopher Hess, Pau...
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    JMLR
    2006
    134views more  JMLR 2006»
    Considering Cost Asymmetry in Learning Classifiers
    14 years 9 months ago
    Considering Cost Asymmetry in Learning Classifiers
    Download  jmlr.csail.mit.edu
    Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
    Francis R. Bach, David Heckerman, Eric Horvitz
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