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    LWA
    2007
    151views Software Engineering» more  LWA 2007»
    Know the Right People? Recommender Systems for Web 2.0
    13 years 9 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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    NAACL
    2007
    132views Computational Linguistics» more  NAACL 2007»
    Unsupervised Natural Language Processing Using Graph Models
    13 years 9 months ago
    Unsupervised Natural Language Processing Using Graph Models
    Download  wortschatz.uni-leipzig.de
    In the past, NLP has always been based on the explicit or implicit use of linguistic knowledge. In classical computer linguistic applications explicit rule based approaches prevai...
    Chris Biemann
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    SWWS
    2008
    136views Internet Technology» more  SWWS 2008»
    A Harmony based Adaptive Ontology Mapping Approach
    13 years 9 months ago
    A Harmony based Adaptive Ontology Mapping Approach
    Download  www.dit.unitn.it
    - Ontology mapping seeks to find semantic correspondences between similar elements of different ontologies. Ontology mapping is critical to achieve semantic interoperability in the...
    Ming Mao, Yefei Peng, Michael Spring
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    RIVF
    2007
    185views Internet Technology» more  RIVF 2007»
    On-line Boosting for Car Detection from Aerial Images
    13 years 9 months ago
    On-line Boosting for Car Detection from Aerial Images
    Download  people.ee.ethz.ch
    — In this paper, we present a new approach for automatic car detection from aerial images. The system exploits a robust machine learning method known as boosting for efficient c...
    Thuy Thi Nguyen, Helmut Grabner, Horst Bischof, B....
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    AAAI
    2006
    121views Intelligent Agents» more  AAAI 2006»
    Efficient L1 Regularized Logistic Regression
    13 years 9 months ago
    Efficient L1 Regularized Logistic Regression
    Download  www.stanford.edu
    L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
    Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
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