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    NIPS
    2008
    285views Information Technology» more  NIPS 2008»
    Natural Image Denoising with Convolutional Networks
    13 years 10 months ago
    Natural Image Denoising with Convolutional Networks
    Download  hebb.mit.edu
    We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
    Viren Jain, H. Sebastian Seung
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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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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    13 years 10 months ago
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    Download  www.cs.berkeley.edu
    In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
    Yitao Duan, John F. Canny
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    SDM
    2008
    SIAM
    105views Data Mining» more  SDM 2008»
    Gaussian Process Learning for Cyber-Attack Early Warning
    13 years 10 months ago
    Gaussian Process Learning for Cyber-Attack Early Warning
    Download  csc.lsu.edu
    Network security has been a serious concern for many years. For example, firewalls often record thousands of exploit attempts on a daily basis. Network administrators could benefi...
    Jian Zhang 0004, Phillip A. Porras, Johannes Ullri...
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    SDM
    2008
    SIAM
    144views Data Mining» more  SDM 2008»
    Semi-supervised Multi-label Learning by Solving a Sylvester Equation
    13 years 10 months ago
    Semi-supervised Multi-label Learning by Solving a Sylvester Equation
    Download  siam.org
    Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
    Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
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