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    NIPS
    2008
    143views Information Technology» more  NIPS 2008»
    One sketch for all: Theory and Application of Conditional Random Sampling
    13 years 11 months ago
    One sketch for all: Theory and Application of Conditional Random Sampling
    Download  www-stat.stanford.edu
    Conditional Random Sampling (CRS) was originally proposed for efficiently computing pairwise (l2, l1) distances, in static, large-scale, and sparse data. This study modifies the o...
    Ping Li, Kenneth Ward Church, Trevor Hastie
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    NLUCS
    2008
    119views Natural Language Processing» more  NLUCS 2008»
    Ontology-driven Vaccination Information Extraction
    13 years 11 months ago
    Ontology-driven Vaccination Information Extraction
    Download  www.ieeta.pt
    Increasingly, medical institutions have access to clinical information through computers. The need to process and manage the large amount of data is motivating the recent interest ...
    Liliana Ferreira, António Teixeira, Jo&atil...
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    LWA
    2007
    151views Software Engineering» more  LWA 2007»
    Know the Right People? Recommender Systems for Web 2.0
    13 years 11 months ago
    Know the Right People? Recommender Systems for Web 2.0
    Download  www.l3s.de
    Web 2.0 applications like Flickr, YouTube, or Del.icio.us are increasingly popular online communities for creating, editing and sharing content. However, the rapid increase in siz...
    Stefan Siersdorfer, Sergej Sizov, Paul Clough
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    PST
    2008
    108views Security Privacy» more  PST 2008»
    Utility of Knowledge Extracted from Unsanitized Data when Applied to Sanitized Data
    13 years 11 months ago
    Utility of Knowledge Extracted from Unsanitized Data when Applied to Sanitized Data
    Download  people.ucalgary.ca
    Knowledge discovery systems extract knowledge from data that can be used for making prediction about incomplete data items. Utility is a measure of the usefulness of the discovere...
    Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
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    RIVF
    2008
    193views Internet Technology» more  RIVF 2008»
    Unsupervised learning for image classification based on distribution of hierarchical feature tree
    13 years 11 months ago
    Unsupervised learning for image classification based on distribution of hierarchical feature tree
    Download  www-clips.imag.fr
    The classification image into one of several categories is a problem arisen naturally under a wide range of circumstances. In this paper, we present a novel unsupervised model for ...
    Thach-Thao Duong, Joo-Hwee Lim, Hai-Quan Vu, Jean-...
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