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    NIPS
    2008
    163views Information Technology» more  NIPS 2008»
    Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
    13 years 10 months ago
    Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
    Download  www.cs.huji.ac.il
    Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
    Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie...
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    LWA
    2007
    151views Software Engineering» more  LWA 2007»
    Know the Right People? Recommender Systems for Web 2.0
    13 years 10 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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    NIPS
    2007
    147views Information Technology» more  NIPS 2007»
    Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
    13 years 10 months ago
    Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
    Download  books.nips.cc
    A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
    Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...
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    PDPTA
    2007
    171views Distributed And Parallel Com...» more  PDPTA 2007»
    Python-based Distributed Programming with Trickle
    13 years 10 months ago
    Python-based Distributed Programming with Trickle
    Download  www.cs.usfca.edu
    Abstract Trickle is a an extension to the Python programming language that provides explicit but simple mechanisms to write distributed scripts and programs. Trickle links together...
    Gregory Benson, Alexey Fedosov
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    SDM
    2007
    SIAM
    121views Data Mining» more  SDM 2007»
    Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus
    13 years 10 months ago
    Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus
    Download  siam.org
    We propose an unsupervised approach to learn associations between continuous-valued attributes from different modalities. These associations are used to construct a multi-modal t...
    Hichem Frigui, Joshua Caudill
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