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    CIDR
    2007
    141views Algorithms» more  CIDR 2007»
    Data-Driven Processing in Sensor Networks
    13 years 10 months ago
    Data-Driven Processing in Sensor Networks
    Download  www-db.cs.wisc.edu
    Wireless sensor networks are poised to enable continuous data collection on unprecedented scales, in terms of area location and size, and frequency. This is a great boon to field...
    Adam Silberstein, Gregory Filpus, Kamesh Munagala,...
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    DGO
    2008
    170views Education» more  DGO 2008»
    Natural language processing and e-Government: crime information extraction from heterogeneous data sources
    13 years 10 months ago
    Natural language processing and e-Government: crime information extraction from heterogeneous data sources
    Download  isl.cgu.edu
    Much information that could help solve and prevent crimes is never gathered because the reporting methods available to citizens and law enforcement personnel are not optimal. Dete...
    Chih Hao Ku, Alicia Iriberri, Gondy Leroy
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    ISTA
    2008
    113views Information Technology» more  ISTA 2008»
    Evolving and Implanting Web-Based E-Government-Systems in Universities
    13 years 10 months ago
    Evolving and Implanting Web-Based E-Government-Systems in Universities
    Download  www.sse-tubs.de
    Abstract. The Bologna Process [1] has triggered a major restructuring of the current university diploma into a bachelor/master system. As one effect, the administration effort for ...
    Dirk Reiss, Bernhard Rumpe, Marvin Schulze-Quester...
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    NIPS
    2008
    143views Information Technology» more  NIPS 2008»
    Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization
    13 years 10 months ago
    Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization
    Download  www.cs.cmu.edu
    The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
    Liu Yang, Rong Jin, Rahul Sukthankar
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    LWA
    2007
    160views Software Engineering» more  LWA 2007»
    Towards Learning User-Adaptive State Models in a Conversational Recommender System
    13 years 10 months ago
    Towards Learning User-Adaptive State Models in a Conversational Recommender System
    Download  users.informatik.uni-halle.de
    Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforceme...
    Tariq Mahmood, Francesco Ricci
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