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    NIPS
    1998
    102views Information Technology» more  NIPS 1998»
    An Entropic Estimator for Structure Discovery
    15 years 12 days ago
    An Entropic Estimator for Structure Discovery
    Download  www.merl.com
    We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
    Matthew Brand
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    KDD
    2008
    ACM
    217views Data Mining» more  KDD 2008»
    Stream prediction using a generative model based on frequent episodes in event sequences
    15 years 11 months ago
    Stream prediction using a generative model based on frequent episodes in event sequences
    Download  research.microsoft.com
    This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
    Srivatsan Laxman, Vikram Tankasali, Ryen W. White
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    KDD
    2010
    ACM
    250views Data Mining» more  KDD 2010»
    On community outliers and their efficient detection in information networks
    15 years 1 months ago
    On community outliers and their efficient detection in information networks
    Download  www.cs.uiuc.edu
    Linked or networked data are ubiquitous in many applications. Examples include web data or hypertext documents connected via hyperlinks, social networks or user profiles connected...
    Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Su...
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    BMCBI
    2007
    115views more  BMCBI 2007»
    A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
    14 years 11 months ago
    A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
    Download  www.biomedcentral.com
    Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
    Stephen Winters-Hilt, Carl Baribault
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    NAACL
    2003
    181views Computational Linguistics» more  NAACL 2003»
    Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
    15 years 13 days ago
    Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
    Download  www.cs.cmu.edu
    It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
    Hua Yu, Tanja Schultz
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