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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    12 years 8 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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    WWW
    2009
    ACM
    230views Internet Technology» more  WWW 2009»
    Collaborative filtering for orkut communities: discovery of user latent behavior
    14 years 5 months ago
    Collaborative filtering for orkut communities: discovery of user latent behavior
    Download  www2009.org
    Users of social networking services can connect with each other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows over ...
    WenYen Chen, Jon-Chyuan Chu, Junyi Luan, Hongjie B...
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    BMCBI
    2010
    112views more  BMCBI 2010»
    PhenoFam-gene set enrichment analysis through protein structural information
    13 years 5 months ago
    PhenoFam-gene set enrichment analysis through protein structural information
    Download  www.biomedcentral.com
    Background: With the current technological advances in high-throughput biology, the necessity to develop tools that help to analyse the massive amount of data being generated is e...
    Maciej Paszkowski-Rogacz, Mikolaj Slabicki, M. Ter...
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    ICML
    2010
    IEEE
    240views Machine Learning» more  ICML 2010»
    High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
    13 years 6 months ago
    High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
    Download  www.icml2010.org
    We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
    Gregory Druck, Andrew McCallum
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    CVPR
    2009
    IEEE
    310views Computer Vision» more  CVPR 2009»
    Robust unsupervised segmentation of degraded document images with topic models
    13 years 8 months ago
    Robust unsupervised segmentation of degraded document images with topic models
    Download  www.cse.buffalo.edu
    Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
    Timothy J. Burns, Jason J. Corso
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