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    » Prediction on Spike Data Using Kernel Algorithms
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    SDM
    2009
    SIAM
    105views Data Mining» more  SDM 2009»
    Exploiting Semantic Constraints for Estimating Supersenses with CRFs.
    14 years 6 months ago
    Exploiting Semantic Constraints for Estimating Supersenses with CRFs.
    Download  www.siam.org
    The annotation of words and phrases by ontology concepts is extremely helpful for semantic interpretation. However many ontologies, e.g. WordNet, are too fine-grained and even hu...
    Gerhard Paaß, Frank Reichartz
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    BMCBI
    2007
    102views more  BMCBI 2007»
    Setting up a large set of protein-ligand PDB complexes for the development and validation of knowledge-based docking algorithms
    13 years 9 months ago
    Setting up a large set of protein-ligand PDB complexes for the development and validation of knowledge-based docking algorithms
    Download  www.biomedcentral.com
    Background: The number of algorithms available to predict ligand-protein interactions is large and ever-increasing. The number of test cases used to validate these methods is usua...
    Luis A. Diago, Persy Morell, Longendri Aguilera, E...
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    SDM
    2008
    SIAM
    121views Data Mining» more  SDM 2008»
    Integration of Multiple Networks for Robust Label Propagation
    13 years 10 months ago
    Integration of Multiple Networks for Robust Label Propagation
    Download  sugiyama-www.cs.titech.ac.jp
    Transductive inference on graphs such as label propagation algorithms is receiving a lot of attention. In this paper, we address a label propagation problem on multiple networks a...
    Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama
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    CVPR
    2007
    IEEE
    199views Computer Vision» more  CVPR 2007»
    Hierarchical Structuring of Data on Manifolds
    14 years 3 months ago
    Hierarchical Structuring of Data on Manifolds
    Download  www.eecs.qmul.ac.uk
    Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
    Jun Li, Pengwei Hao
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    KDD
    2005
    ACM
    73views Data Mining» more  KDD 2005»
    Using relational knowledge discovery to prevent securities fraud
    14 years 9 months ago
    Using relational knowledge discovery to prevent securities fraud
    Download  www.cs.purdue.edu
    We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
    Özgür Simsek, David Jensen, Henry G. Gol...
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