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    WWW
    2011
    ACM
    257views Internet Technology» more  WWW 2011»
    Estimating sizes of social networks via biased sampling
    13 years 4 months ago
    Estimating sizes of social networks via biased sampling
    Download  www.cs.yale.edu
    Online social networks have become very popular in recent years and their number of users is already measured in many hundreds of millions. For various commercial and sociological...
    Liran Katzir, Edo Liberty, Oren Somekh
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    SOCIALCOM
    2010
    144views Security Privacy» more  SOCIALCOM 2010»
    Learning Influence Propagation of Personal Blogs with Content and Network Analyses
    13 years 4 months ago
    Learning Influence Propagation of Personal Blogs with Content and Network Analyses
    Download  uilab.kaist.ac.kr
    Weblogs (blogs) serve as a gateway to a large blog reader population, so blog authors can potentially influence a large reader population by expressing their thoughts and expertise...
    Il-Chul Moon, Dongwoo Kim, Yohan Jo, Alice H. Oh
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    TASLP
    2010
    157views more  TASLP 2010»
    HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
    13 years 4 months ago
    HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
    Download  www.ee.ucla.edu
    This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
    Bengt J. Borgstrom, Abeer Alwan
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    TC
    2010
    186views Information Technology» more  TC 2010»
    Model-Driven System Capacity Planning under Workload Burstiness
    13 years 4 months ago
    Model-Driven System Capacity Planning under Workload Burstiness
    Download  www.doc.ic.ac.uk
    In this paper, we define and study a new class of capacity planning models called MAP queueing networks. MAP queueing networks provide the first analytical methodology to describe ...
    Giuliano Casale, Ningfang Mi, Evgenia Smirni
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    TCAD
    2010
    150views more  TCAD 2010»
    Voltage and Temperature Aware Statistical Leakage Analysis Framework Using Artificial Neural Networks
    13 years 4 months ago
    Voltage and Temperature Aware Statistical Leakage Analysis Framework Using Artificial Neural Networks
    Download  chips.ece.iisc.ernet.in
    Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process paramete...
    Janakiraman Viraraghavan, Bharadwaj Amrutur, V. Vi...
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