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    TKDE
    2012
    270views Formal Methods» more  TKDE 2012»
    Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
    11 years 9 months ago
    Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
    Download  www.cs.wayne.edu
    —Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
    Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
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    SP
    1999
    IEEE
    194views Security Privacy» more  SP 1999»
    Detecting Intrusions using System Calls: Alternative Data Models
    13 years 11 months ago
    Detecting Intrusions using System Calls: Alternative Data Models
    Download  www.cc.gatech.edu
    Intrusion detection systems rely on a wide variety of observable data to distinguish between legitimate and illegitimate activities. In this paper we study one such observable-seq...
    Christina Warrender, Stephanie Forrest, Barak A. P...
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    ECWEB
    2009
    Springer
    204views ECommerce» more  ECWEB 2009»
    Computational Complexity Reduction for Factorization-Based Collaborative Filtering Algorithms
    14 years 2 months ago
    Computational Complexity Reduction for Factorization-Based Collaborative Filtering Algorithms
    Download  www.gravityrd.com
    Abstract. Alternating least squares (ALS) is a powerful matrix factorization (MF) algorithm for both implicit and explicit feedback based recommender systems. We show that by using...
    István Pilászy, Domonkos Tikk
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    ML
    2008
    ACM
    146views Machine Learning» more  ML 2008»
    Improving maximum margin matrix factorization
    13 years 7 months ago
    Improving maximum margin matrix factorization
    Download  www.ci.tuwien.ac.at
    Abstract. Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful lear...
    Markus Weimer, Alexandros Karatzoglou, Alex J. Smo...
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    BMCBI
    2007
    139views more  BMCBI 2007»
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    13 years 7 months ago
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    Download  www.biomedcentral.com
    Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
    Andrew S. Peek
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